Triple
T17480152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudgens v. NLRB |
E425633
|
entity |
| Predicate | party |
P1790
|
FINISHED |
| Object | Hudgens |
—
|
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: Hudgens | Statement: [Hudgens v. NLRB, party, Hudgens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hudgens Context triple: [Hudgens v. NLRB, party, Hudgens]
-
A.
Hudgens
chosen
Hudgens is the surname of American actress and singer Vanessa Hudgens, best known for her breakout role in Disney's "High School Musical" franchise.
-
B.
Hudnut
Hudnut is a surname of English origin borne by various notable individuals, including figures in American politics, architecture, and the arts.
-
C.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
D.
Hucknall
Hucknall is a market town in Nottinghamshire, England, historically known for its coal mining industry and as the burial place of the poet Lord Byron.
-
E.
Hoodi
Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bf1e8081909f4d4b8992412e62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.