Triple

T1352976
Position Surface form Disambiguated ID Type / Status
Subject Munir Sirhan E28923 entity
Predicate familyName P18 FINISHED
Object Sirhan E28923 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: Sirhan | Statement: [Munir Sirhan, familyName, Sirhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirhan
Context triple: [Munir Sirhan, familyName, Sirhan]
  • A. Sirhan Sirhan
    Sirhan Sirhan is a Palestinian immigrant who became infamous for assassinating U.S. Senator Robert F. Kennedy in Los Angeles in 1968.
  • B. Munir Sirhan chosen
    Munir Sirhan is best known as the brother of Sirhan Sirhan, the assassin of U.S. Senator Robert F. Kennedy.
  • C. Issa Kassis
    Issa Kassis is a Palestinian politician who serves as the mayor of Ramallah, a major cultural and administrative center in the West Bank.
  • D. Henry Barakat
    Henry Barakat was a prominent Egyptian film director and one of the leading figures of classical Egyptian cinema.
  • E. Yom Saeed
    Yom Saeed is an early Egyptian film notable for featuring the debut screen appearance of legendary actress Faten Hamama.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc64032d08190986c8b12bbcfc7c2 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.