Triple

T22972147
Position Surface form Disambiguated ID Type / Status
Subject Anna Pauline Murray E571216 entity
Predicate middleName P143 FINISHED
Object Pauline 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: Pauline | Statement: [Anna Pauline Murray, middleName, Pauline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pauline
Context triple: [Anna Pauline Murray, middleName, Pauline]
  • A. Pauline chosen
    Pauline is a feminine given name used in various languages, often considered the female form of Paul.
  • B. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • C. Paula
    Paula is the custom audio and I/O coprocessor used in Commodore Amiga computers, responsible for sound generation and handling certain input/output functions.
  • D. Berenice Syra
    Berenice Syra was a Hellenistic princess of the Ptolemaic dynasty who became queen consort of the Seleucid Empire through her marriage to Antiochus II Theos.
  • E. Mary Salome
    Mary Salome is a Christian biblical figure traditionally venerated as one of the women who followed Jesus and witnessed his crucifixion and empty tomb.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1823370fc819084a13d6e4eb6e44e completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.