Triple

T9647317
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Wenger E233234 entity
Predicate familyName P18 FINISHED
Object Wenger E79041 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: Wenger | Statement: [Jennifer Wenger, familyName, Wenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wenger
Context triple: [Jennifer Wenger, familyName, Wenger]
  • A. Arsène Wenger chosen
    Arsène Wenger is a French football manager best known for revolutionizing English football through his long, trophy-laden tenure in charge of Arsenal.
  • B. Félix Mourinho
    Félix Mourinho was a Portuguese professional football goalkeeper and later manager, best known as the father of renowned coach José Mourinho.
  • C. André Villas-Boas
    André Villas-Boas is a Portuguese football manager known for his successful spell at FC Porto and subsequent coaching roles at top European clubs such as Chelsea and Tottenham Hotspur.
  • D. Ranieri
    Ranieri was the birth name of Pope Paschal II, a 12th-century head of the Catholic Church known for his role in the Investiture Controversy.
  • E. Rafael Benítez
    Rafael Benítez is a Spanish football manager renowned for his tactical acumen and success in European competitions, including winning the UEFA Champions League with Liverpool.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b826ff08190a972bdef84405f08 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1825dc8e08190bfc3475cd2e694ba completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:13 p.m.