Triple
T16041512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulger |
E389107
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Marc Bulger |
E91599
|
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: Marc Bulger | Statement: [Bulger, hasNotableBearer, Marc Bulger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Bulger Context triple: [Bulger, hasNotableBearer, Marc Bulger]
-
A.
Marc Bulger
chosen
Marc Bulger is a former NFL quarterback best known for his Pro Bowl tenure with the St. Louis Rams in the 2000s.
-
B.
Roy Bowers
Roy Bowers, better known by his craft name Robert Cochrane, was a prominent 20th-century English witch and influential figure in the development of modern traditional witchcraft.
-
C.
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.
-
D.
Carlos Greene
Carlos Greene is a singer best known as the lead vocalist of the musical group Two Occasions.
-
E.
Charles Keefe
Charles Keefe is a fictional high-profile political figure whose life becomes the focus of an assassination plot in the thriller film "Red Eye."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18340686881909135fc43a0a71b20 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd77c5481908644742a8a8f3e68 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.