Triple
T8576024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Stern |
E203049
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Richard Jewell |
E365484
|
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: Richard Jewell | Statement: [Tom Stern, notableWork, Richard Jewell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Jewell Context triple: [Tom Stern, notableWork, Richard Jewell]
-
A.
Richard Jewell
chosen
Richard Jewell is the 2019 biographical drama film directed by Clint Eastwood about the security guard falsely accused in the 1996 Atlanta Olympic bombing.
-
B.
Blaine Manning
Blaine Manning is a former Canadian professional lacrosse forward best known as a star player and multiple-time NLL champion with the Toronto Rock.
-
C.
Bryan Mills
Bryan Mills is the highly skilled former CIA operative and fiercely protective father portrayed by Liam Neeson in the Taken film series.
-
D.
Aaron McKinney
Aaron McKinney is an American man best known as one of the two assailants convicted in the 1998 murder of Matthew Shepard, a crime that drew national attention to anti-LGBTQ+ hate violence.
-
E.
John O'Neil
John O'Neil is best known as the former husband of American actress Teri Garr.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9638c081909a537cc44e485bee |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce899dd7d48190b44338b92ad68bd0 |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:21 p.m.