Triple

T16430119
Position Surface form Disambiguated ID Type / Status
Subject Peter Gelb E399049 entity
Predicate familyName P18 FINISHED
Object Gelb E399049 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: Gelb | Statement: [Peter Gelb, familyName, Gelb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gelb
Context triple: [Peter Gelb, familyName, Gelb]
  • A. Gelb chosen
    Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • B. Geel
    Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
  • C. Žut
    Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
  • D. Yallow
    Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • E. Giali
    Giali is an alternative name for Gyali, a small Greek island in the southeastern Aegean Sea known for its pumice and obsidian deposits.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458331748190a4bd1c5d2d466e6d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.