Triple

T11745484
Position Surface form Disambiguated ID Type / Status
Subject Ed Hoffman E279268 entity
Predicate conflictsWith P4897 FINISHED
Object Hani Salaam E272648 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: Hani Salaam | Statement: [Ed Hoffman, conflictsWith, Hani Salaam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hani Salaam
Context triple: [Ed Hoffman, conflictsWith, Hani Salaam]
  • A. Hani Salaam chosen
    Hani Salaam is a high-ranking and sophisticated Jordanian intelligence chief featured in the espionage thriller "Body of Lies."
  • B. Shadi Abdel Salam
    Shadi Abdel Salam was a pioneering Egyptian film director, screenwriter, and costume designer best known for his visually striking, historically themed masterpiece "The Night of Counting the Years" (Al-Mummia).
  • C. Hanan Hashim
    Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
  • D. Sarvath El Hassan
    Sarvath El Hassan is a Jordanian princess known for her philanthropic work, particularly in education and social development initiatives.
  • E. 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.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019f5f29c81909d80a9e6127ec6ef completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.