Triple

T6828977
Position Surface form Disambiguated ID Type / Status
Subject The Post E157087 entity
Predicate starredActor P5563 FINISHED
Object Tracy Letts E202173 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: Tracy Letts | Statement: [The Post, starredActor, Tracy Letts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy Letts
Context triple: [The Post, starredActor, Tracy Letts]
  • A. Tracy Letts chosen
    Tracy Letts is an American actor, playwright, and screenwriter known for his Pulitzer Prize–winning play "August: Osage County" and acclaimed performances in film, television, and theater.
  • B. Ennis Howard Plemons
    Ennis Howard Plemons is the son of American actors Kirsten Dunst and Jesse Plemons.
  • C. Dylan Baker
    Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
  • D. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • E. William H. Macy
    William H. Macy is an American actor and director known for his character roles in films like "Fargo" and the TV series "Shameless."
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6254bd88190a2a424537c2c12e2 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f73eec81908c666888a19c0b29 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.