Triple

T19328912
Position Surface form Disambiguated ID Type / Status
Subject Tammam Salam E483433 entity
Predicate appointedBy P257 FINISHED
Object Michel Suleiman 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: Michel Suleiman | Statement: [Tammam Salam, appointedBy, Michel Suleiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Suleiman
Context triple: [Tammam Salam, appointedBy, Michel Suleiman]
  • A. Michel Suleiman chosen
    Michel Suleiman is a Lebanese military officer and politician who served as President of Lebanon from 2008 to 2014.
  • B. Suleiman Frangieh
    Suleiman Frangieh was a prominent Lebanese Maronite politician who served as President of Lebanon from 1970 to 1976 and played a key role during the early years of the Lebanese Civil War.
  • C. Elias Atallah
    Elias Atallah is a Lebanese politician and former leftist leader known for his opposition to Syrian influence in Lebanon and his role in the March 14 Alliance.
  • D. Issam Nassar
    Issam Nassar is a Palestinian historian and scholar known for his work on the history of photography in Palestine and the broader Middle East.
  • E. Hussein Hammoud
    Hussein Hammoud is an individual notable enough to be recognized as a prominent bearer of the surname Hammoud.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6163ffddc81909e9cb13e780f1f18 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.