Triple

T36902643
Position Surface form Disambiguated ID Type / Status
Subject Fitzmaurice E912080 entity
Predicate hasOriginalGivenName P197510 FINISHED
Object Maurice E44841 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: Maurice | Statement: [Fitzmaurice, hasOriginalGivenName, Maurice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalGivenName
Context triple: [Fitzmaurice, hasOriginalGivenName, Maurice]
  • A. hasOriginalNameOf
    Indicates that one entity is the original or earlier name from which another entity’s current or later name is derived.
  • B. originalGivenName chosen
    Indicates the personal first name that an individual was originally given at birth or naming, before any later changes.
  • C. hasOriginalCharacterName
    Indicates that an entity is associated with its initial or primary character name before any changes or adaptations.
  • D. hasGivenNames
    Indicates that an entity possesses one or more personal (given) names assigned to it.
  • E. hasUncertainOriginalName
    Indicates that the entity’s original name is not known with certainty or is subject to doubt or ambiguity.
  • F. None of above.

Provenance (4 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_69f76e841b54819097e7fa768bbc70b2 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff0b6bc4a88190bf1d38c6ea26bcdc completed May 9, 2026, 10:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3e1623c2d48190a03864bb0a67305e completed June 26, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69ff082a22f4819095ded971dbd8ea7b completed May 9, 2026, 10:10 a.m.
Created at: May 3, 2026, 4:13 p.m.