Triple

T14404218
Position Surface form Disambiguated ID Type / Status
Subject Lalla Ward E357154 entity
Predicate characterTypePortrayed P60013 FINISHED
Object Time Lady E357151 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: Time Lady | Statement: [Lalla Ward, characterTypePortrayed, Time Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Lady
Context triple: [Lalla Ward, characterTypePortrayed, Time Lady]
  • A. Time Lady chosen
    A Time Lady is a female member of the ancient, time-traveling alien race from Gallifrey in the Doctor Who universe, possessing the ability to regenerate and traverse time and space.
  • B. Golden Lady
    "Golden Lady" is a soulful, jazz-inflected love song by Stevie Wonder from his acclaimed 1973 album *Innervisions*.
  • C. The Lady
    The Lady is a 1925 silent drama film starring Norma Talmadge as a fallen woman struggling to protect her son amid social prejudice and personal sacrifice.
  • D. The Lady
    The Lady is a long-running British weekly magazine aimed primarily at women, known for its focus on domestic life, culture, and high-society classifieds.
  • E. The Lady
    The Lady is the mysterious, sharpshooting female gunslinger who enters a deadly quick-draw tournament to confront her past in the Western film "The Quick and the Dead."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5523267081908d972b60b6039528 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.