Triple
T23536715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beholder |
E577618
|
entity |
| Predicate | grandsire |
P979
|
FINISHED |
| Object | Hennessy |
—
|
NE NERFINISHED |
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: Hennessy | Statement: [Beholder, grandsire, Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hennessy Context triple: [Beholder, grandsire, Hennessy]
-
A.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
-
B.
Hennessy
Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
-
C.
Hennessy
chosen
Hennessy was a prominent American Thoroughbred racehorse and successful sire known for producing multiple Grade 1 winners and influential bloodlines.
-
D.
Remy Martin
Remy Martin is an American professional basketball player and dynamic point guard known for his standout collegiate career at Arizona State University and later at the University of Kansas, where he helped win a national championship.
-
E.
Remy Martin
Remy Martin is an American rapper and member of the hip hop group Terror Squad, known for hits like "Conceited" and "Lean Back."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1738bc81909a7b761ddbaa1883 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.