Triple

T8539998
Position Surface form Disambiguated ID Type / Status
Subject James Mangold E202171 entity
Predicate familyName P18 FINISHED
Object Mangold E464611 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: Mangold | Statement: [James Mangold, familyName, Mangold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangold
Context triple: [James Mangold, familyName, Mangold]
  • A. Mangold chosen
    Mangold is a surname most notably associated with former American football center Nick Mangold of the New York Jets.
  • B. Parmys
    Parmys was an Achaemenid Persian noblewoman and princess, known as a granddaughter of Cyrus the Great and a queen consort during the reign of Darius I.
  • C. Lauch
    The Lauch is a river in northeastern France that flows through the Alsace region, notably passing through the town of Guebwiller before joining the Ill.
  • D. Nabo
    Nabo is a diminutive form of the given name Nabil, often used as a familiar or affectionate nickname.
  • E. Manglerud
    Manglerud is a residential neighborhood in Oslo, Norway, known for its post-war housing, local sports culture, and proximity to green areas.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6dfb2bc8190a41e32eca3c824c2 completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d9d06e48190a5c0cfa9779fc07c completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.