Triple

T14238803
Position Surface form Disambiguated ID Type / Status
Subject Third Doctor E352954 entity
Predicate regenerationNumber P113344 FINISHED
Object 3 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: 3 | Statement: [Third Doctor, regenerationNumber, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regenerationNumber
Context triple: [Third Doctor, regenerationNumber, 3]
  • A. regenerationOf
    Indicates that one entity is the renewed, restored, or regrown version of another entity, typically after damage, loss, or degradation.
  • B. regenerationAbility
    Indicates the capability of an entity to restore or regrow lost or damaged parts of itself.
  • C. regenerationStartedIn
    Indicates that a regeneration process was initiated or began within a specified location, context, or time frame.
  • D. hasRegenerationCycleWith
    Indicates that two entities are linked by a recurring regeneration or renewal process that they undergo together or in relation to each other.
  • E. regenerationAssociatedWith
    Indicates an association between a regeneration process and a related factor, condition, or entity involved in or linked to that regenerative activity.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62432fb48190b153805b85c4f2d2 completed April 14, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69de05bf069c8190b69f00f00f5eb126 completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239a02e881909b0e2679487e4ab2 completed April 14, 2026, 11:23 a.m.
Created at: April 10, 2026, 1:08 a.m.