Triple

T2693087
Position Surface form Disambiguated ID Type / Status
Subject Candace Parker E58448 entity
Predicate employer P7 FINISHED
Object TNT E3614 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: TNT | Statement: [Candace Parker, employer, TNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TNT
Context triple: [Candace Parker, employer, TNT]
  • A. TNT chosen
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • B. Nuke
    Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
  • C. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • D. Termunten
    Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
  • E. Blitz
    The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0f43b08190a5abd936b14603b7 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6501088190b8fe1ba8de4f6e00 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:54 p.m.