Triple

T16096968
Position Surface form Disambiguated ID Type / Status
Subject Marlo Thomas E390511 entity
Predicate sibling P363 FINISHED
Object Tony Thomas E177164 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: Tony Thomas | Statement: [Marlo Thomas, sibling, Tony Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Thomas
Context triple: [Marlo Thomas, sibling, Tony Thomas]
  • A. Tony Thomas
    Tony Thomas is an Indian entrepreneur best known as a co-founder of the software company Zoho Corporation.
  • B. Tony Thomas chosen
    Tony Thomas is an American television and film producer best known for co-founding Witt/Thomas Productions and producing popular sitcoms such as "The Golden Girls."
  • C. Dean Thomas
    Dean Thomas is a fictional Gryffindor student and member of Dumbledore's Army in J.K. Rowling's Harry Potter series.
  • D. Ben Thomas
    Ben Thomas is the guilt-ridden IRS agent in the film "Seven Pounds" who seeks redemption by transforming the lives of seven strangers through profound acts of sacrifice.
  • E. Billy Thomas
    Billy Thomas is a central character on the television series "Ally McBeal," known as Ally's former childhood sweetheart and colleague whose complicated relationship with her drives much of the show's emotional drama.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e18593d0fc8190aa3ba3edb4219aaa completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb991ba88190ad568a49069f9701 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.