Triple

T19644947
Position Surface form Disambiguated ID Type / Status
Subject Once I Had a Sweetheart E471648 entity
Predicate hasUnknownOriginalDate P87775 FINISHED
Object true 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: true | Statement: [Once I Had a Sweetheart, hasUnknownOriginalDate, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnknownOriginalDate
Context triple: [Once I Had a Sweetheart, hasUnknownOriginalDate, true]
  • A. hasUnknownExactDateOfComposition chosen
    Indicates that the precise date when a work was composed is not known.
  • B. hasUncertainOriginalName
    Indicates that the entity’s original name is not known with certainty or is subject to doubt or ambiguity.
  • C. hasUnknownAuthor
    Indicates that the author of the entity is not known or cannot be identified.
  • D. uncertainBirthDate
    Indicates that the exact birth date of an entity is not known or is only approximately specified.
  • E. hasBaseDate
    Indicates that an entity is associated with a specific reference or starting date used as the basis for related calculations, schedules, or validity periods.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6412452d481908b6946cad3c411d5 completed April 20, 2026, 3:07 p.m.
PD Predicate disambiguation batch_69e514e941008190898d978d7bde91e4 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:44 p.m.