Triple
T10494004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raising Cain |
E247487
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gregg Henry |
E876857
|
NE FINISHED |
How this triple was built (2 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: Gregg Henry | Statement: [Raising Cain, starring, Gregg Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregg Henry Context triple: [Raising Cain, starring, Gregg Henry]
-
A.
Gregg Henry
chosen
Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
-
B.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
C.
Jeffery Wood
Jeffery Wood is an American actor best known for his role on the television sitcom "In the House."
-
D.
Timothy Busfield
Timothy Busfield is an American actor and director best known for his roles in television series such as "thirtysomething," "The West Wing," and various film and stage productions.
-
E.
Jon Hensley
Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9882acd348190ae3ab2f17c834aef |
completed | April 10, 2026, 11:30 p.m. |
Created at: April 6, 2026, 12:24 p.m.