Triple

T19407715
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Luker E485505 entity
Predicate spouse P13 FINISHED
Object Gregory Jbara NE NERFINISHED

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: Gregory Jbara | Statement: [Rebecca Luker, spouse, Gregory Jbara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory Jbara
Context triple: [Rebecca Luker, spouse, Gregory Jbara]
  • A. Gregory Jbara chosen
    Gregory Jbara is an American actor and singer best known for his Tony Award-winning performance in the musical "Billy Elliot" and his long-running role as Deputy Commissioner Garrett Moore on the TV series "Blue Bloods."
  • B. Gregory Romano
    Gregory Romano is one of the sons of American comedian and actor Ray Romano.
  • C. Justin Khoury
    Justin Khoury is a theoretical physicist known for his work in cosmology and modified gravity, including contributions to models of dark energy and dark matter.
  • D. Gregory Tsamblak
    Gregory Tsamblak was a medieval Orthodox cleric, writer, and scholar of Bulgarian origin who became a prominent church leader and man of letters in the Slavic world.
  • E. Michael Nouri
    Michael Nouri is an American actor best known for his roles in films like "Flashdance" and numerous television series, including "NCIS" and "Damages."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257bad0c819088dd7729b6a36a94 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.