Triple

T14879356
Position Surface form Disambiguated ID Type / Status
Subject Tobe Hooper E349955 entity
Predicate directed P7373 FINISHED
Object Djinn E251592 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: Djinn | Statement: [Tobe Hooper, directed, Djinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Djinn
Context triple: [Tobe Hooper, directed, Djinn]
  • A. Two Djinn
    "Two Djinn" is a song by the band RatDog, known for blending rock, jazz, and improvisational jam elements.
  • B. Les Djinns
    Les Djinns is a celebrated poem by Victor Hugo that vividly depicts a supernatural invasion through its innovative, rhythmically intensifying structure.
  • C. Jinn chosen
    Jinn are supernatural beings in Islamic belief, created from smokeless fire and endowed with free will, who exist alongside humans and can choose to obey or disobey God.
  • D. Jadu
    Jadu is a small town in western Libya situated in the Nafusa Mountains, known for its Amazigh (Berber) heritage and strategic highland location.
  • E. In the Face of Jinn
    In the Face of Jinn is a novel by Cheryl Howard that follows two American sisters on a transformative journey through Pakistan and India after a family tragedy.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5670108190b41ef95dc318be60 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:55 a.m.