Triple

T15636563
Position Surface form Disambiguated ID Type / Status
Subject Jessica Jones E375959 entity
Predicate featuresActor P15562 FINISHED
Object Rachael Taylor E385714 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: Rachael Taylor | Statement: [Jessica Jones, featuresActor, Rachael Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachael Taylor
Context triple: [Jessica Jones, featuresActor, Rachael Taylor]
  • A. Rachael Taylor chosen
    Rachael Taylor is an Australian actress known for her roles in films like "Transformers" and TV series such as "Jessica Jones."
  • B. Rachel Taylor
    Rachel Taylor was the second wife of acclaimed American actor Jason Robards, with whom she was married in the mid-20th century.
  • C. Hayley Roberts
    Hayley Roberts is a Welsh former shop assistant and model best known for being married to actor and singer David Hasselhoff.
  • D. Rachael Elliott
    Rachael Elliott is a musician best known as the bassoonist for the contemporary chamber ensemble Clogs.
  • E. Rebecca Taylor
    Rebecca Taylor is a fictional character from the romantic comedy film "Nine Months," portrayed as the pregnant girlfriend whose unexpected news forces the commitment-phobic protagonist to confront impending fatherhood.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eba51f08190ac5d9de7fc89405a completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0335a0c8190ade4c2f78df3d113 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:14 a.m.