Triple

T5536629
Position Surface form Disambiguated ID Type / Status
Subject South Lebanon Army E145177 entity
Predicate commander P1061 FINISHED
Object Saad Haddad E531946 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: Saad Haddad | Statement: [South Lebanon Army, commander, Saad Haddad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saad Haddad
Context triple: [South Lebanon Army, commander, Saad Haddad]
  • A. Saad Haddad chosen
    Saad Haddad was a Lebanese militia leader and army officer who founded and commanded the Israeli-backed South Lebanon Army during the Lebanese Civil War.
  • B. Nabil Shaath
    Nabil Shaath is a prominent Palestinian politician and diplomat who has held senior roles in the Palestinian Authority, including as foreign minister and negotiator in peace talks with Israel.
  • C. Hadi Simaan
    Hadi Simaan is an architect best known for designing major landmark projects in the Middle East, including Doha’s Aspire Tower.
  • D. Abdullah Hammoud
    Abdullah Hammoud is an American politician who became the first Arab American and Muslim mayor of Dearborn, Michigan, known for his progressive policies and advocacy for public health and civil rights.
  • E. Samir Bannout
    Samir Bannout is a Lebanese-American professional bodybuilder best known for winning the 1983 Mr. Olympia title and for his exceptionally detailed back development.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce6a3bc8190958b9356bb788d72 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:34 p.m.