Triple

T12686532
Position Surface form Disambiguated ID Type / Status
Subject Goop E303083 entity
Predicate hasKeyPerson P256 FINISHED
Object Gwyneth Paltrow (CEO) E63076 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: Gwyneth Paltrow (CEO) | Statement: [Goop, hasKeyPerson, Gwyneth Paltrow (CEO)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwyneth Paltrow (CEO)
Context triple: [Goop, hasKeyPerson, Gwyneth Paltrow (CEO)]
  • A. Gwyneth Bevan
    Gwyneth Bevan is a notable individual associated with the surname Bevan, recognized as a distinguished bearer of that name.
  • B. Sheryl Yoast
    Sheryl Yoast is a character in the film "Remember the Titans," depicted as the passionate, football-loving daughter of coach Bill Yoast.
  • C. Gwyneth Williams
    Gwyneth Williams is a British media executive best known for her role as Controller of BBC Radio 4 and BBC Radio 4 Extra.
  • D. Gwyneth Paltrow chosen
    Gwyneth Paltrow is an American actress and businesswoman best known for her Academy Award–winning performance in "Shakespeare in Love" and for playing Pepper Potts in the Marvel Cinematic Universe.
  • E. Sheryl Sandberg
    Sheryl Sandberg is an American technology executive, author, and former Chief Operating Officer of Meta (formerly Facebook), widely recognized for her leadership in Silicon Valley and advocacy for women in the workplace.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671aacfa8819088fd113474638238 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.