Triple
T5067378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Beal |
E114176
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeff Beal |
E114176
|
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: Jeff Beal | Statement: [Jeff Beal, name, Jeff Beal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Beal Context triple: [Jeff Beal, name, Jeff Beal]
-
A.
Jeff Beal
chosen
Jeff Beal is an American composer best known for his atmospheric, minimalist scores for film and television, particularly the acclaimed political drama "House of Cards."
-
B.
Bill Richard
Bill Richard is the father of Martin Richard, the youngest victim of the 2013 Boston Marathon bombing, and has since been involved in public remembrance and community efforts honoring his son.
-
C.
John Whitesell
John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
-
D.
Bob Bakish
Bob Bakish is an American media executive who serves as the president and chief executive officer of Paramount Global, overseeing its global entertainment and streaming operations.
-
E.
Jim Lewis
Jim Lewis is a writer best known for his extensive work on Muppet-related projects, contributing scripts and material for various films, shows, and attractions.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749bf69c819093e75dce56f1c0ab |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a027a88190a515a374e5405d8a |
completed | March 21, 2026, 2:01 p.m. |
Created at: March 20, 2026, 1:38 p.m.