Triple
T13757601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steely |
E330515
|
entity |
| Predicate | givenNameOf |
P17
|
FINISHED |
| Object | Steely McBeam |
E65453
|
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: Steely McBeam | Statement: [Steely, givenNameOf, Steely McBeam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steely McBeam Context triple: [Steely, givenNameOf, Steely McBeam]
-
A.
Steely McBeam
chosen
Steely McBeam is the hard-hat–wearing, steelworker-themed official mascot of the NFL’s Pittsburgh Steelers.
-
B.
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.
-
C.
Corky
Corky is the nickname of Rodolfo "Corky" Gonzales, a prominent Chicano boxer, poet, and civil rights activist known for his role in the Chicano Movement.
-
D.
Corky
Corky is a fictional character known as the central figure in the work "The Artistic Career of Corky," around whom the story’s creative and personal developments revolve.
-
E.
Charlie Bean
Charlie Bean is an American animator, storyboard artist, and film director known for his work on animated projects including co-directing *The Lego Ninjago Movie*.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022286b481908f8a801042743512 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a85dfa6881908da90886db4aa1bb |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.