Triple
T656293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Dern |
E11656
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bruce |
E52442
|
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: Bruce | Statement: [Bruce Dern, givenName, Bruce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Context triple: [Bruce Dern, givenName, Bruce]
-
A.
Bruce
chosen
Bruce is a masculine given name of English and Scottish origin, commonly associated with figures in music, film, and popular culture.
-
B.
Brian
Brian is a masculine given name of Irish origin that has become widely used in English-speaking countries.
-
C.
Gary
Gary is an industrial city in northwest Indiana, historically known for its steel production and location within the American Rust Belt.
-
D.
Neil
Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
-
E.
Rob
Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4e87408190b5276d2b913d0426 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654d435088190b4a910dc280d13c6 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:36 p.m.