Triple

T12758326
Position Surface form Disambiguated ID Type / Status
Subject Joanne Woodward E304918 entity
Predicate notableWork P4 FINISHED
Object Sybil E775825 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: Sybil | Statement: [Joanne Woodward, notableWork, Sybil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sybil
Context triple: [Joanne Woodward, notableWork, Sybil]
  • A. Sybil
    Sybil is a character from the fantasy film "The Magic Sword," known for her role in the story’s magical and adventurous narrative.
  • B. Sybil
    Sybil was an illegitimate daughter of King Henry I of England, known primarily through her royal lineage and connections within the Anglo-Norman nobility.
  • C. Sybil
    Sybil is an American R&B and pop singer best known for her late-1980s and early-1990s hits, including popular covers of classic soul songs.
  • D. Sybil chosen
    Sybil is a 1976 television film about a woman with dissociative identity disorder, best known for Sally Field’s acclaimed, Emmy-winning performance in the title role.
  • E. Sybil
    Sybil is a feminine given name of Greek origin, historically associated with prophetesses and later borne by various notable women in arts and literature.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.