Triple
T6892734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan Grant Sr. |
E159085
|
entity |
| Predicate | hasNotableRelative |
P367
|
FINISHED |
| Object | Stan Grant Jr. |
E628825
|
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: Stan Grant Jr. | Statement: [Stan Grant Sr., hasNotableRelative, Stan Grant Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Grant Jr. Context triple: [Stan Grant Sr., hasNotableRelative, Stan Grant Jr.]
-
A.
Stan Grant Jr.
chosen
Stan Grant Jr. is an Australian journalist, author, and television presenter known for his reporting on Indigenous issues and global affairs.
-
B.
Stan Grant Sr.
Stan Grant Sr. is an esteemed Wiradjuri elder, author, and language advocate known for his work in preserving and revitalizing the Wiradjuri language and culture in Australia.
-
C.
Red Grant
Red Grant is a ruthless, psychopathic assassin and primary antagonist in the James Bond franchise, most prominently appearing as SPECTRE’s top killer in the film and novel "From Russia, with Love."
-
D.
Ron Blair
Ron Blair is an American bassist best known as a longtime member of the rock band Tom Petty and the Heartbreakers.
-
E.
Alan Osbiston
Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d930ab548190953291d63cbc721b |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7617d81288190b38a67552f228933 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:24 p.m.