Triple

T15073177
Position Surface form Disambiguated ID Type / Status
Subject Mickey Haller E379931 entity
Predicate ethnicityInCanon P111399 FINISHED
Object part Mexican-American (through his mother) LITERAL 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: part Mexican-American (through his mother) | Statement: [Mickey Haller, ethnicityInCanon, part Mexican-American (through his mother)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnicityInCanon
Context triple: [Mickey Haller, ethnicityInCanon, part Mexican-American (through his mother)]
  • A. ethnicityInTradition
    Indicates that a particular ethnicity is associated with, represented in, or plays a role within a specified cultural or religious tradition.
  • B. ethnicityInUniverse chosen
    Indicates that, within a given fictional or defined universe, a particular entity is associated with or belongs to a specified ethnicity as understood in that universe.
  • C. ethnicityInSeries
    Indicates that a character’s ethnicity as portrayed or identified within a specific series is being specified.
  • D. holderEthnicity
    Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
  • E. ethnicGroupDepicted
    Indicates that a particular ethnic group is visually represented or portrayed in the subject entity (such as an image, artwork, or media item).
  • F. None of above.

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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69deb95a182081908fffc4402b02a394 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:02 a.m.