Triple

T6379122
Position Surface form Disambiguated ID Type / Status
Subject Phil Lynott E143536 entity
Predicate notableSongwritingTheme P7671 FINISHED
Object Irish identity 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: Irish identity | Statement: [Phil Lynott, notableSongwritingTheme, Irish identity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableSongwritingTheme
Context triple: [Phil Lynott, notableSongwritingTheme, Irish identity]
  • A. notableSongWrittenFor
    Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
  • B. notableTheme chosen
    Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
  • C. notableSongCharacteristic
    Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
  • D. notableSongContributions
    Indicates that an entity has made significant creative or performance contributions to one or more songs.
  • E. notableSongAssociations
    Indicates that there are notable or significant associations between an entity and specific songs, such as being referenced by, inspiring, or otherwise prominently linked to those songs.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69c060eff524819094cee1c70a0c1ff4 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:33 p.m.