Triple

T14854595
Position Surface form Disambiguated ID Type / Status
Subject Adventureland E349318 entity
Predicate mainCharacter P1183 FINISHED
Object Joel E330388 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: Joel | Statement: [Adventureland, mainCharacter, Joel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel
Context triple: [Adventureland, mainCharacter, Joel]
  • A. Joel
    Joel is a masculine given name of Hebrew origin meaning "Yahweh is God," commonly used in many English-speaking and other countries.
  • B. Joel
    Joel is a prophetic book in the Old Testament that focuses on themes of divine judgment, repentance, and the coming "day of the Lord."
  • C. Joel Cairo
    Joel Cairo is a sly, effeminate, and duplicitous criminal figure in Dashiell Hammett’s novel "The Maltese Falcon," known for his involvement in the hunt for the jewel-encrusted statuette.
  • D. Joel Reynolds chosen
    Joel Reynolds is a fictional protagonist whose story centers on his personal experiences and development within the narrative from which he is drawn.
  • E. Joel McAndrew
    Joel McAndrew is a New York–based hedge fund manager best known as the husband of English model and actress Agyness Deyn.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65087708819084f51a043e5361e9 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.