Triple

T12846552
Position Surface form Disambiguated ID Type / Status
Subject Eloise Mumford E307190 entity
Predicate notableWork P4 FINISHED
Object Lone Star E496616 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: Lone Star | Statement: [Eloise Mumford, notableWork, Lone Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lone Star
Context triple: [Eloise Mumford, notableWork, Lone Star]
  • A. Lone Star chosen
    Lone Star is a 1996 neo-Western mystery film directed by John Sayles, acclaimed for its complex exploration of race, history, and community along the Texas–Mexico border.
  • B. Lone Star
    Lone Star is the nickname of the national flag of Liberia, symbolizing the country's status as Africa's first independent republic.
  • C. Lone Star
    Lone Star is a short-lived but critically acclaimed American television drama series that aired on Fox in 2010, centered on a charismatic con man leading a dangerous double life in Texas.
  • D. The Lone Star
    The Lone Star is a popular nickname for the national flag of Chile, highlighting its single prominent white star on a blue field.
  • E. Lone Stars
    The Lone Stars is the nickname of the Liberia national football team, which represents Liberia in international soccer competitions.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba1ef2481909bcf68a698afd3c6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.