Triple

T3506949
Position Surface form Disambiguated ID Type / Status
Subject Dr. Jack E74098 entity
Predicate givenName P17 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: [Dr. Jack, givenName, Jack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack
Context triple: [Dr. Jack, givenName, 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. Jimmy
    Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
  • C. Jake
    Jake is a fictional character from the "Pacific Rim" film franchise, known as the charismatic Jaeger pilot and son of legendary pilot Stacker Pentecost.
  • D. Johnny
    Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
  • E. Jerry
    Jerry is one of the two cross-dressing musician protagonists in the classic 1959 comedy film "Some Like It Hot," famously portrayed by Jack Lemmon.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf52bd8819085a2ac5f48cc5c68 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6da490819093a5f574ff0b6b00 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.