Triple

T21965501
Position Surface form Disambiguated ID Type / Status
Subject Adel Emam E542445 entity
Predicate notableWork P4 FINISHED
Object Al-Ghoul (The Ogre) NE NERFINISHED

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: Al-Ghoul (The Ogre) | Statement: [Adel Emam, notableWork, Al-Ghoul (The Ogre)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ghoul (The Ogre)
Context triple: [Adel Emam, notableWork, Al-Ghoul (The Ogre)]
  • A. Al-Ghoul chosen
    Al-Ghoul is a popular Egyptian film starring Adel Emam that blends social drama with dark comedy to critique corruption and moral decay in society.
  • B. The Mad Ghoul
    The Mad Ghoul is a 1943 Universal Pictures horror film about a deranged scientist who turns his assistant into a zombie-like creature to commit grave robberies and murder.
  • C. Ghoul
    Ghoul is a horror film featuring Nolan Gould in its cast.
  • D. The Monster
    The Monster is a towering, ancient tree-like creature who appears to a young boy in the dark fantasy novel "A Monster Calls," guiding him through stories that confront grief and truth.
  • E. The Monster
    The Monster is a short story featured in Stephen Crane's collection "The Monster and Other Stories," exploring themes of ostracism, morality, and social hypocrisy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245aabf88190a44564e6eaaa94ce completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.