Triple

T15678550
Position Surface form Disambiguated ID Type / Status
Subject Angus MacLachlan E377508 entity
Predicate wrote P2831 FINISHED
Object The Big D E296209 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: The Big D | Statement: [Angus MacLachlan, wrote, The Big D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big D
Context triple: [Angus MacLachlan, wrote, The Big D]
  • A. Uptown Dallas
    Uptown Dallas is a vibrant, upscale neighborhood just north of downtown Dallas known for its high-rise living, trendy restaurants, nightlife, and walkable urban atmosphere.
  • B. Sugar Land
    Sugar Land is a rapidly growing suburban city in the Houston metropolitan area, known for its master-planned communities, high quality of life, and strong local economy.
  • C. Big D chosen
    "Big D" is a lively show tune celebrating Dallas, Texas, from the 1956 Frank Loesser musical *The Most Happy Fella*.
  • D. Lone Star
    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.
  • E. Lone Star
    Lone Star is the nickname of the national flag of Liberia, symbolizing the country's status as Africa's first independent republic.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.