Triple

T15465067
Position Surface form Disambiguated ID Type / Status
Subject Max Abramovitz E372010 entity
Predicate hasGivenName P17 FINISHED
Object Max E11109 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: Max | Statement: [Max Abramovitz, hasGivenName, Max]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max
Context triple: [Max Abramovitz, hasGivenName, Max]
  • A. Max chosen
    Max is a masculine given name commonly used in German- and English-speaking countries, often as a short form of Maximilian or Maxwell.
  • B. Max
    Max is a central character in Harold Pinter’s play "The Homecoming," known as the domineering, abrasive patriarch whose volatile behavior drives much of the drama’s tension.
  • C. Max
    Max is the mischievous young boy in a wolf costume who imagines traveling to an island of monsters in the classic children's book "Where the Wild Things Are."
  • D. Max
    Max is the central protagonist of "The Real Thing," around whom the story’s main events and character dynamics revolve.
  • E. Max
    Max is the imaginative young protagonist from "The Adventures of Sharkboy and Lavagirl," whose dreams help create and empower the superhero Lavagirl.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d01a23c819095cf75b7d5a801a9 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.