Triple
T14600430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men of Honor |
E342689
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | David Keith |
E294799
|
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: David Keith | Statement: [Men of Honor, starring, David Keith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Keith Context triple: [Men of Honor, starring, David Keith]
-
A.
David Keith
chosen
David Keith is an American actor known for his roles in films such as "An Officer and a Gentleman" and "Firestarter."
-
B.
Danny Jacobson
Danny Jacobson is an American television writer and producer best known for co-creating the hit sitcom "Mad About You."
-
C.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
D.
Ray Cline
Ray Cline was a prominent American intelligence officer and analyst who held senior positions in the CIA and became known for his influential role in shaping U.S. Cold War intelligence and national security policy.
-
E.
Chris Grant
Chris Grant is a professional choreographer best known for creating dance routines for major pop artists, including work on Beyoncé’s tours.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.