Triple

T3167098
Position Surface form Disambiguated ID Type / Status
Subject Jamil Walker E66236 entity
Predicate hasFamilyName P18 FINISHED
Object Walker E186941 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: Walker | Statement: [Jamil Walker, hasFamilyName, Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walker
Context triple: [Jamil Walker, hasFamilyName, Walker]
  • A. Walker chosen
    Walker is a common English surname borne by numerous notable individuals across fields such as politics, sports, the arts, and civil rights leadership.
  • B. Blake
    Blake is a given name and surname used in English-speaking countries for people of any gender.
  • C. Jack
    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.
  • D. Smith
    Smith is a common English surname borne by numerous notable individuals across diverse fields such as politics, arts, sports, and academia.
  • E. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.