Triple

T13434142
Position Surface form Disambiguated ID Type / Status
Subject Huxtable family E320185 entity
Predicate hasFamilyMember P7844 FINISHED
Object Elvin Tibideaux E1021940 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: Elvin Tibideaux | Statement: [Huxtable family, hasFamilyMember, Elvin Tibideaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elvin Tibideaux
Context triple: [Huxtable family, hasFamilyMember, Elvin Tibideaux]
  • A. Jeffrey Skiles
    Jeffrey Skiles is an American airline pilot best known as the first officer who helped safely land US Airways Flight 1549 on the Hudson River alongside Captain Chesley "Sully" Sullenberger.
  • B. Nelson Tibideaux chosen
    Nelson Tibideaux is a minor character on the sitcom "The Cosby Show," known as one of the twin sons of Sondra Huxtable and Elvin Tibideaux.
  • C. Roger Clemons
    Roger Clemons is an individual best known as the person associated with the use of the entity named Clemons.
  • D. Joe Jamail
    Joe Jamail was a prominent American trial lawyer and billionaire philanthropist from Texas, often called the “King of Torts” for his record-setting courtroom victories.
  • E. Rene Mathis
    René Mathis is a recurring French intelligence ally of James Bond in Ian Fleming’s 007 novels and their adaptations.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee29fec81908b07b4fca2922242 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547880d48190af9b30e4e521a952 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:40 p.m.