Triple

T7904610
Position Surface form Disambiguated ID Type / Status
Subject Eddie Valiant E183540 entity
Predicate relative P37 FINISHED
Object Teddy Valiant E183540 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: Teddy Valiant | Statement: [Eddie Valiant, relative, Teddy Valiant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy Valiant
Context triple: [Eddie Valiant, relative, Teddy Valiant]
  • A. Carl Ryder
    Carl Ryder is a music producer known for his work on Public Enemy’s landmark hip-hop album "It Takes a Nation of Millions to Hold Us Back."
  • B. Hugo Carmody
    Hugo Carmody is a charming, somewhat hapless young gentleman from P. G. Wodehouse’s Blandings Castle stories, often embroiled in romantic entanglements and comic misadventures.
  • C. Philip Vanderpole
    Philip Vanderpole is a fictional character portrayed by child actor Freddie Bartholomew, likely in a classic early 20th-century film or literary adaptation.
  • D. Bentley Ferguson
    Bentley Ferguson is a child of renowned Canadian jazz trumpeter and bandleader Maynard Ferguson.
  • E. Eddie Valiant chosen
    Eddie Valiant is a hard-boiled, down-on-his-luck private detective who becomes entangled with cartoon characters in the hybrid live-action/animated film "Who Framed Roger Rabbit."
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a4331cc8190b50301c78767a850 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bc35cec8190bda3dfe7d8d4ed18 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.