Triple
T8934387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morrow |
E212738
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Phil Morrow
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
|
E783594
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Phil Morrow | Statement: [Morrow, hasNotableBearer, Phil Morrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Morrow Context triple: [Morrow, hasNotableBearer, Phil Morrow]
-
A.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
B.
Joe Dougherty
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
C.
Greg Gilmore
Greg Gilmore is an American rock drummer best known for his work with the late-1980s Seattle band Mother Love Bone, a key precursor to the grunge movement.
-
D.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
E.
Stephen Holbrook
Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phil Morrow Triple: [Morrow, hasNotableBearer, Phil Morrow]
Generated description
Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Morrow Target entity description: Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
-
A.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
-
B.
Joe Dougherty
Joe Dougherty was an American voice actor best known for originating the voice of the Warner Bros. cartoon character Porky Pig in the 1930s.
-
C.
Greg Gilmore
Greg Gilmore is an American rock drummer best known for his work with the late-1980s Seattle band Mother Love Bone, a key precursor to the grunge movement.
-
D.
Michael Dorman
Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
-
E.
Stephen Holbrook
Stephen Holbrook is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc669138b48190a6bb4968f029a69e |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05be377988190a59f0033322d627f |
completed | April 4, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_69d05cb45280819096747ff8f7d5c2a0 |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d5d29f4819081c28b24cb2058b0 |
completed | April 4, 2026, 12:37 a.m. |
Created at: March 30, 2026, 6:58 p.m.