Triple
T14577262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Qualen |
E342085
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Hal Tucker |
E990322
|
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: Hal Tucker | Statement: [Eric Qualen, enemyOf, Hal Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Tucker Context triple: [Eric Qualen, enemyOf, Hal Tucker]
-
A.
Hal Tucker
chosen
Hal Tucker is a supporting character in the 1993 action thriller film "Cliffhanger," serving as a fellow mountain rescue worker and close friend of protagonist Gabe Walker.
-
B.
Mark Tucker
Mark Tucker is a video game designer known for his work on Bethesda's online action role-playing game Fallout 76.
-
C.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
D.
Paul Hayes Tucker
Paul Hayes Tucker is an American art historian and curator best known for his scholarship on Impressionism, particularly the work of Claude Monet.
-
E.
T. J. Tynan
T. J. Tynan is an American professional ice hockey forward known as one of the AHL’s elite playmakers and a multiple-time league MVP.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feadfaddc88190bb1196ace0bfd4ff |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.