Triple

T894007
Position Surface form Disambiguated ID Type / Status
Subject John E19301 entity
Predicate hasDiminutive P456 FINISHED
Object Jack E14882 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: Jack | Statement: [John, hasDiminutive, Jack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack
Context triple: [John, hasDiminutive, Jack]
  • A. Jack chosen
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • B. Joe
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • C. Charlie
    Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
  • D. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • E. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac257f3b2c819082a16c7242d89404 completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:39 p.m.