Triple

T15275510
Position Surface form Disambiguated ID Type / Status
Subject Josh Kramon E365127 entity
Predicate notableWork P4 FINISHED
Object Veronica Mars (TV series) score E81053 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: Veronica Mars (TV series) score | Statement: [Josh Kramon, notableWork, Veronica Mars (TV series) score]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veronica Mars (TV series) score
Context triple: [Josh Kramon, notableWork, Veronica Mars (TV series) score]
  • A. Veronica Mars chosen
    Veronica Mars is a neo-noir mystery television series (later continued in film and revival form) centered on a sharp-witted teenage private investigator navigating crime and corruption in the fictional town of Neptune, California.
  • B. Leo D’Amato on Veronica Mars
    Leo D’Amato is a kind-hearted Neptune police officer and occasional love interest of Veronica Mars in the television series "Veronica Mars."
  • C. Veronica
    Veronica is a central character from the Archie Comics series, known as the wealthy, stylish, and often temperamental love interest of Archie Andrews.
  • D. Veronica
    Veronica is the given first name of the American actress and comedian Patsy Kelly.
  • E. Veronica
    Veronica is a fictional character known as a relative of Tiffany Maxwell in the film "Silver Linings Playbook."
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee608217881909c9f7f7c753cf0a8 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.