Triple

T17012188
Position Surface form Disambiguated ID Type / Status
Subject Global Creatures E412726 entity
Predicate keyPerson P256 FINISHED
Object Carmen Pavlovic E412727 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: Carmen Pavlovic | Statement: [Global Creatures, keyPerson, Carmen Pavlovic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Pavlovic
Context triple: [Global Creatures, keyPerson, Carmen Pavlovic]
  • A. Carmen Pavlovic chosen
    Carmen Pavlovic is a theatre producer best known for leading the stage adaptation of Baz Luhrmann’s Moulin Rouge! into an award-winning Broadway musical.
  • B. Tatiana Pajkovic
    Tatiana Pajkovic is a Danish actress and musician known for her work in film and television and for her marriage to actor Boyd Holbrook.
  • C. Izabela Vidovic
    Izabela Vidovic is a Bosnian-American actress known for her roles in films like "Homefront" and "Wonder" as well as various television series.
  • D. Nena Danevic
    Nena Danevic is a film editor best known for her Academy Award–winning work on the 1984 historical drama "Amadeus."
  • E. Pamela Habibović
    Pamela Habibović is a Dutch scientist and academic leader who serves as rector magnificus of Maastricht University.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47cc17c819087f7bd27582bcbfa completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233311648190b5f8a8e7c209d124 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.