Triple

T6406181
Position Surface form Disambiguated ID Type / Status
Subject Secret Pass E127583 entity
Predicate hasName P744 FINISHED
Object Secret Pass E127583 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: Secret Pass | Statement: [Secret Pass, hasName, Secret Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secret Pass
Context triple: [Secret Pass, hasName, Secret Pass]
  • A. Secret Pass chosen
    Secret Pass is a mountain pass in Nevada’s Ruby Mountains that serves as a key route through this rugged range.
  • B. Secretum
    Secretum is a semi-autobiographical philosophical dialogue by Francesco Petrarca in which he examines his inner spiritual and moral struggles through a conversation with Saint Augustine.
  • C. Crypt Keeper
    The Crypt Keeper is a ghoulish, pun-loving horror host best known for introducing and narrating macabre stories in the television series "Tales from the Crypt."
  • D. Le mot de passe
    Le mot de passe is a studio album by French singer Patricia Kaas that showcases her signature blend of chanson, pop, and jazz-influenced styles.
  • E. The Secret Code
    "The Secret Code" is a 1942 American World War II-era spy film featuring Lotus Long in a prominent role, centered on espionage and sabotage themes.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068b3541c8190be89b24b313d7300 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638af5450819089d0b68721eaea4d completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.