Triple
T7822796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Soar |
E181171
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Hank |
E564144
|
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: Hank | Statement: [Hank Soar, nickname, Hank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hank Context triple: [Hank Soar, nickname, Hank]
-
A.
Hank
Hank is the curmudgeonly but soft-hearted septopus (seven-tentacled octopus) who helps Dory on her journey in Pixar's animated film "Finding Dory."
-
B.
Hank
Hank is the central character in the 1996 drama film "Marvin's Room," around whom the story’s family conflicts and emotional developments revolve.
-
C.
Hank
chosen
Hank is the nickname of Hank Stram, a Hall of Fame American football coach best known for leading the Kansas City Chiefs to multiple AFL titles and a Super Bowl victory.
-
D.
Hank
Hank is the nickname of Hank Greenberg, a Hall of Fame American baseball player renowned as one of the greatest power hitters of the 1930s and 1940s.
-
E.
Hank
Hank is the popular nickname of Henrik Lundqvist, the Swedish Hockey Hall of Fame goaltender best known for his stellar NHL career with the New York Rangers.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa095d7081908b3e492ce58b5d5f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14a526cc8190a8b1a3179f75ad6c |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:41 p.m.