Triple

T14781025
Position Surface form Disambiguated ID Type / Status
Subject The Children E347388 entity
Predicate director P255 FINISHED
Object Alex Graves E1119042 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: Alex Graves | Statement: [The Children, director, Alex Graves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Graves
Context triple: [The Children, director, Alex Graves]
  • A. Alex Graves
    Alex Graves is a computer scientist and machine learning researcher known for his influential work on recurrent neural networks, deep reinforcement learning, and sequence modeling.
  • B. Alex Graves chosen
    Alex Graves is an American television director and producer best known for his work on high-profile series such as Game of Thrones and The West Wing.
  • C. Jonathan Graves
    Jonathan Graves is the protagonist of the 1985 horror-comedy film "Ghoulies," a young man who unwittingly unleashes demonic creatures while dabbling in occult rituals.
  • D. Alex Convery
    Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
  • E. Alex Flanagan
    Alex Flanagan is an American sportscaster and sideline reporter known for her work covering major NFL games and other high-profile sporting events on national television.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b626c48190a6aa9eda43539246 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.