Triple

T11473339
Position Surface form Disambiguated ID Type / Status
Subject Flip or Flop E271962 entity
Predicate notableCastMember P7010 FINISHED
Object Tarek El Moussa E927413 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: Tarek El Moussa | Statement: [Flip or Flop, notableCastMember, Tarek El Moussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarek El Moussa
Context triple: [Flip or Flop, notableCastMember, Tarek El Moussa]
  • A. Tarek El Moussa chosen
    Tarek El Moussa is an American real estate investor and television personality best known for co-hosting HGTV home-renovation shows.
  • B. Tarek El-Khatib
    Tarek El-Khatib is a leading architect and key executive associated with the Canadian firm Zeidler Partnership Architects, known for his role in shaping major architectural projects.
  • C. Sarvath El Hassan
    Sarvath El Hassan is a Jordanian princess known for her philanthropic work, particularly in education and social development initiatives.
  • D. 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.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6249ee74881908814cf59c82038a6 completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:35 p.m.