Triple

T519478
Position Surface form Disambiguated ID Type / Status
Subject Jacob E10780 entity
Predicate workedFor P1910 FINISHED
Object Laban E64673 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: Laban | Statement: [Jacob, workedFor, Laban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laban
Context triple: [Jacob, workedFor, Laban]
  • A. Laban chosen
    Laban is a biblical patriarch in the Book of Genesis, known as the father of Leah and Rachel and the shrewd relative with whom Jacob lived and worked.
  • B. Tharp
    Tharp is a surname most notably associated with Marie Tharp, the pioneering American geologist and oceanographic cartographer who helped reveal the detailed topography of the ocean floor.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Finkelstein
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • E. Quintin Dailey
    Quintin Dailey was an American shooting guard best known for his prolific scoring at the University of San Francisco and his subsequent NBA career marked by both on-court talent and off-court controversies.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ab1dc61081908d7215b68f95b2ba completed March 1, 2026, 9:09 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.