Triple

T8664580
Position Surface form Disambiguated ID Type / Status
Subject Bella Heathcote E205633 entity
Predicate notableWork P4 FINISHED
Object Relic E407864 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: Relic | Statement: [Bella Heathcote, notableWork, Relic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Relic
Context triple: [Bella Heathcote, notableWork, Relic]
  • A. Relic
    Relic is a fashion accessories brand under Fossil Group known for its affordable, casual watches, handbags, and small leather goods.
  • B. The Relic chosen
    The Relic is a 1997 science fiction horror film about a monstrous creature stalking a Chicago museum, based on the novel by Douglas Preston and Lincoln Child.
  • C. Relic of Memory
    "Relic of Memory" is a poem by Seamus Heaney that reflects his characteristic themes of memory, place, and the passage of time.
  • D. Relíquias
    Relíquias is a civil parish in the municipality of Odemira, in the Alentejo region of southern Portugal, known for its rural landscape and traditional character.
  • E. Risen
    Risen is a 2016 biblical drama film that follows a Roman tribune investigating the mysterious disappearance of Jesus’ body after the crucifixion.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a0ae108190b33dadcc3cb18949 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0d95ec81908669ee35f0987be7 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.