Triple

T15063956
Position Surface form Disambiguated ID Type / Status
Subject The Babysitter E379707 entity
Predicate director P255 FINISHED
Object McG E116003 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: McG | Statement: [The Babysitter, director, McG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McG
Context triple: [The Babysitter, director, McG]
  • A. McG chosen
    McG is an American film and television director and producer best known for stylized action movies like the Charlie's Angels films and Terminator Salvation, as well as creating and producing TV series such as The O.C.
  • B. MacGruber
    MacGruber is a 2010 action-comedy film, based on a Saturday Night Live sketch, that parodies the MacGyver TV series with over-the-top violence and absurd humor.
  • C. MacFarlane
    MacFarlane is a Scottish surname and sept historically associated with Clan MacFarlane of the Scottish Highlands.
  • D. Quick Draw McGraw
    Quick Draw McGraw is a classic Hanna-Barbera cartoon character, a dimwitted but well-meaning anthropomorphic horse who works as a sheriff in comedic Western adventures.
  • E. The Mighty McGurk
    The Mighty McGurk is a 1947 American drama film starring Wallace Beery as an aging boxer whose life changes when he takes in an orphaned boy.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.