Triple

T9641918
Position Surface form Disambiguated ID Type / Status
Subject Rachel E233090 entity
Predicate namedAfter P63 FINISHED
Object Rachel the pig E37734 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: Rachel the pig | Statement: [Rachel, namedAfter, Rachel the pig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel the pig
Context triple: [Rachel, namedAfter, Rachel the pig]
  • A. Porco
    Porco is a popular nickname for Sociedade Esportiva Palmeiras, one of Brazil’s most successful and traditional football clubs.
  • B. Rachel the Piggy Bank chosen
    Rachel the Piggy Bank is a life-sized bronze piggy bank sculpture and popular photo spot that serves as the mascot and charitable donation box at Seattle’s Pike Place Market.
  • C. Clarence the Ram
    Clarence the Ram is the costumed ram mascot representing Winston-Salem State University and its athletic teams.
  • D. Porcile
    Porcile is a 1969 Italian film by Pier Paolo Pasolini that blends dark satire and allegory to critique bourgeois morality and authoritarian power.
  • E. Greg the Bunny
    Greg the Bunny is a satirical television comedy series featuring a world where puppets and humans coexist, blending puppet characters with live-action actors in a behind-the-scenes showbiz setting.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b566a2881909ab3f9502b1c3c8d completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1824e68a0819089c8e6e414575c5f completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.