Triple

T31246782
Position Surface form Disambiguated ID Type / Status
Subject 1967–1970 E796704 entity
Predicate coverPhotoOriginallyTakenFor P182773 FINISHED
Object Please Please Me NE NERFINISHED

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: Please Please Me | Statement: [1967–1970, coverPhotoOriginallyTakenFor, Please Please Me]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coverPhotoOriginallyTakenFor
Context triple: [1967–1970, coverPhotoOriginallyTakenFor, Please Please Me]
  • A. publicImage
    Indicates how an entity is perceived or represented by the general public or broader audience.
  • B. hasPhotoAppeal
    Indicates that something possesses qualities that make it visually attractive or appealing in photographs.
  • C. hasPhotoOn
    Indicates that one entity has an associated photograph stored, displayed, or linked on another entity (such as a platform, page, or medium).
  • D. principalImageRevealedBy
    Indicates that a principal or primary image becomes visible or is disclosed as a result of a specific action, event, or revealing entity.
  • E. wasPhotographedAs
    Indicates that one entity appears in a photograph specifically portraying them in the role, character, or identity of another entity.
  • F. None of above. chosen

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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7908ec35881909a42f954fb9fa16e completed May 3, 2026, 6:14 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
PDg Predicate description generation batch_69f78fd3fd888190b7db0b563f298585 completed May 3, 2026, 6:11 p.m.
Created at: April 29, 2026, 9:11 p.m.