Triple

T10871946
Position Surface form Disambiguated ID Type / Status
Subject Caretakers E256675 entity
Predicate hasTitle P38 FINISHED
Object Caretakers E256675 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: Caretakers | Statement: [Caretakers, hasTitle, Caretakers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caretakers
Context triple: [Caretakers, hasTitle, Caretakers]
  • A. Caretakers chosen
    Caretakers is a horror novel by American author Tabitha King that explores dark family secrets and psychological tension in a small-town setting.
  • B. Caretaker
    "Caretaker" is the two-part pilot episode of Star Trek: Voyager in which the starship Voyager is stranded in the distant Delta Quadrant while investigating a powerful alien array.
  • C. The Babysitters
    The Babysitters is a poem by Sylvia Plath that reflects her characteristic blend of domestic imagery and psychological intensity.
  • D. The Baxter
    The Baxter is a 2005 romantic comedy film that parodies traditional love-triangle tropes by focusing on the jilted "nice guy" usually left behind in such stories.
  • E. The Loved Ones
    The Loved Ones is a 2009 Australian horror film known for its brutal high-school abduction storyline and cult status among genre fans.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75186e75c8190bf046ea666faff54 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7dbea28819083511b56bcd7d4ce completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.