Triple

T12906009
Position Surface form Disambiguated ID Type / Status
Subject Alexa Ray Joel E308731 entity
Predicate familyName P18 FINISHED
Object Joel E81687 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: [Alexa Ray Joel, familyName, Joel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel
Context triple: [Alexa Ray Joel, familyName, Joel]
  • A. Joel chosen
    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
    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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971831bd48190b0ecd13e7181bbc6 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a565ce508190a73f33708e61dc7d completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:41 p.m.