Triple

T1438480
Position Surface form Disambiguated ID Type / Status
Subject The Secret Seven E31012 entity
Predicate mainCharacter P1183 FINISHED
Object Pam E58034 NE 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: Pam | Statement: [The Secret Seven, mainCharacter, Pam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pam
Context triple: [The Secret Seven, mainCharacter, Pam]
  • A. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • B. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • C. Patricia chosen
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • D. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • E. Nancy
    Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c506d5ac8190b4c5b394c6d3f414 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ba2cf88190a859bb0974761968 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.