Triple
T14414110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Children |
E357403
|
entity |
| Predicate | narrationBy |
P2181
|
FINISHED |
| Object |
Will Lyman
Will Lyman is an American actor and voice-over artist best known for his distinctive, authoritative narration in film, television, and documentaries.
|
E1097094
|
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: Will Lyman | Statement: [Little Children, narrationBy, Will Lyman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Lyman Context triple: [Little Children, narrationBy, Will Lyman]
-
A.
Paul Satterfield
Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
-
B.
Paul Schoolman
Paul Schoolman is a filmmaker and writer best known for his work on independent films and for being married to South African actress Alice Krige.
-
C.
Lyman Ward
Lyman Ward is a Canadian-American actor best known for playing Ferris Bueller’s father in the 1986 film "Ferris Bueller’s Day Off."
-
D.
John Agee
John Agee is the son of American writer and film critic James Agee.
-
E.
Wilford Leach
Wilford Leach was an American theater director and educator known for his innovative work in musical and avant-garde theater, including multiple Tony Award–winning productions.
- 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: Will Lyman Triple: [Little Children, narrationBy, Will Lyman]
Generated description
Will Lyman is an American actor and voice-over artist best known for his distinctive, authoritative narration in film, television, and documentaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Lyman Target entity description: Will Lyman is an American actor and voice-over artist best known for his distinctive, authoritative narration in film, television, and documentaries.
-
A.
Paul Satterfield
Paul Satterfield is a film professional known for his work as a sequence director on classic animated features such as Disney’s 1942 film "Bambi."
-
B.
Paul Schoolman
Paul Schoolman is a filmmaker and writer best known for his work on independent films and for being married to South African actress Alice Krige.
-
C.
Lyman Ward
Lyman Ward is a Canadian-American actor best known for playing Ferris Bueller’s father in the 1986 film "Ferris Bueller’s Day Off."
-
D.
John Agee
John Agee is the son of American writer and film critic James Agee.
-
E.
Wilford Leach
Wilford Leach was an American theater director and educator known for his innovative work in musical and avant-garde theater, including multiple Tony Award–winning productions.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552a75ec8190b966d509d315ca60 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56844d7c8190906b6550fb1c28d5 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 10, 2026, 1:17 a.m.