Triple

T17574732
Position Surface form Disambiguated ID Type / Status
Subject Jack Kilmer E428033 entity
Predicate notableWork P4 FINISHED
Object Hala 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: Hala | Statement: [Jack Kilmer, notableWork, Hala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hala
Context triple: [Jack Kilmer, notableWork, Hala]
  • A. Hala chosen
    Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
  • B. Hala
    Hala is a town in Sindh, Pakistan, known for its traditional handicrafts, especially glazed pottery and woodwork.
  • C. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • D. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • E. Halafta
    Halafta was a tannaic sage of the early rabbinic period, best known as the father of Rabbi Yose ben Halafta.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4593403648190836266dbdb6cfc9f completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.