Triple

T6279675
Position Surface form Disambiguated ID Type / Status
Subject Theresa Rebeck E140748 entity
Predicate wrote P2831 FINISHED
Object Spike Heels E583065 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: Spike Heels | Statement: [Theresa Rebeck, wrote, Spike Heels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spike Heels
Context triple: [Theresa Rebeck, wrote, Spike Heels]
  • A. Spike Heels chosen
    Spike Heels is a contemporary stage play by Theresa Rebeck that explores power, sexuality, and class dynamics through sharp, darkly comic dialogue.
  • B. High Heels
    "High Heels" is a song featured on the album or release identified as B7.
  • C. High Heels
    High Heels is a 1991 Spanish melodramatic film by Pedro Almodóvar that explores complex mother-daughter relationships, love, and identity with his signature blend of dark humor and vivid style.
  • D. Heels
    Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
  • E. Hell on Heels
    Hell on Heels is a country music album by the Pistol Annies, a trio fronted by Miranda Lambert, known for its sharp, witty songwriting and outlaw-feminist themes.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dc55d48190b5ed48a50f3a742e completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e411332481908ffff37cad062cce completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.