Triple

T14400155
Position Surface form Disambiguated ID Type / Status
Subject Teen Wolf E357048 entity
Predicate director P255 FINISHED
Object Rod Daniel E988581 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: Rod Daniel | Statement: [Teen Wolf, director, Rod Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rod Daniel
Context triple: [Teen Wolf, director, Rod Daniel]
  • A. Rod Daniel chosen
    Rod Daniel was an American film and television director best known for helming popular family and comedy films in the 1980s and 1990s.
  • B. Don Gibson
    Don Gibson was an influential American country music singer-songwriter known for classics like "Oh Lonesome Me" and "I Can't Stop Loving You."
  • C. Bill Anderson
    Bill Anderson is one of the three possible fathers and a central figure in the musical and film "Mamma Mia!", known for his adventurous, easygoing personality and past romance with Donna.
  • D. Bill Anderson
    Bill Anderson is an American country music singer-songwriter known for his soft vocal style and prolific, chart-topping songwriting career.
  • E. Red Foley
    Red Foley was a pioneering American country music singer, guitarist, and radio/TV star whose smooth vocal style and gospel recordings helped shape the genre in the mid-20th century.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc424f88190ab3a1c1aec61cb40 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.