Triple
T8934378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morrow |
E212738
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mike Morrow
Mike Morrow is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Morrow.
|
E768735
|
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: Mike Morrow | Statement: [Morrow, hasNotableBearer, Mike Morrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Morrow Context triple: [Morrow, hasNotableBearer, Mike Morrow]
-
A.
Efrem Zimbalist Jr.
Efrem Zimbalist Jr. was an American actor best known for his starring roles in the television series "77 Sunset Strip" and "The F.B.I."
-
B.
Efrem Zimbalist
Efrem Zimbalist was a renowned Russian-American violinist, composer, and influential pedagogue of the 20th century.
-
C.
Vic Morrow
Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
-
D.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
-
E.
Troy Donahue
Troy Donahue was an American actor and teen idol of the late 1950s and early 1960s, best known for his roles in romantic dramas and beach-themed films.
- 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: Mike Morrow Triple: [Morrow, hasNotableBearer, Mike Morrow]
Generated description
Mike Morrow is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Morrow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Morrow Target entity description: Mike Morrow is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Morrow.
-
A.
Efrem Zimbalist Jr.
Efrem Zimbalist Jr. was an American actor best known for his starring roles in the television series "77 Sunset Strip" and "The F.B.I."
-
B.
Efrem Zimbalist
Efrem Zimbalist was a renowned Russian-American violinist, composer, and influential pedagogue of the 20th century.
-
C.
Vic Morrow
Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
-
D.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
-
E.
Troy Donahue
Troy Donahue was an American actor and teen idol of the late 1950s and early 1960s, best known for his roles in romantic dramas and beach-themed films.
- 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_69cfc93587b081908e23c2a8c01b9516 |
completed | April 3, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69cfc99a21488190a0f9e55a8dc5c6c5 |
completed | April 3, 2026, 2:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca24fd90819081107118a36f96b0 |
completed | April 3, 2026, 2:09 p.m. |
Created at: March 30, 2026, 6:58 p.m.