Triple
T4700296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale Bulldogs field hockey |
E104251
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Handsome Dan |
E47563
|
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: Handsome Dan | Statement: [Yale Bulldogs field hockey, mascot, Handsome Dan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Handsome Dan Context triple: [Yale Bulldogs field hockey, mascot, Handsome Dan]
-
A.
Handsome Dan
chosen
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
B.
Dandy Dan
Dandy Dan is the sharply dressed, ruthless mob boss antagonist in the 1976 musical gangster film "Bugsy Malone."
-
C.
Dum Dum Dugan
Dum Dum Dugan is a gruff, mustachioed World War II-era soldier and close ally of Nick Fury in Marvel Comics, renowned for his combat skills and leadership within elite military units.
-
D.
Dayman
Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
-
E.
Dandy Don
Dandy Don was the popular nickname of Don Meredith, a star Dallas Cowboys quarterback and pioneering color commentator on Monday Night Football.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cbc5d881908d1d40c60929b253 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ca24848190aa7df32472647cae |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.