Triple

T19801955
Position Surface form Disambiguated ID Type / Status
Subject Mitch Pileggi E475701 entity
Predicate appearedIn P795 FINISHED
Object The Mountain 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: The Mountain | Statement: [Mitch Pileggi, appearedIn, The Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mountain
Context triple: [Mitch Pileggi, appearedIn, The Mountain]
  • A. The Mountain chosen
    The Mountain is a 1956 American drama film starring Spencer Tracy and Robert Wagner, centered on two brothers who attempt a perilous climb to a crashed airplane high in the French Alps.
  • B. The Mountain
    The Mountain is a famously steep, jump-inducing section of the Cadwell Park motor racing circuit in Lincolnshire, England.
  • C. The Mountain
    The Mountain is a brutal and gigantic knight from the A Song of Ice and Fire novels and Game of Thrones TV series, infamous for his extreme violence and loyalty to House Lannister.
  • D. The Mountain
    The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
  • E. The Mountain
    The Mountain is a monumental early 20th-century painting by French artist Balthus, renowned for its enigmatic composition and dreamlike depiction of figures in a rugged alpine landscape.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654257cb4819096fb2aa5d1f7fbb0 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.