Triple

T32456473
Position Surface form Disambiguated ID Type / Status
Subject The Outfit E829440 entity
Predicate characterPortrayedByJoeDonBaker P198391 FINISHED
Object Cody
Cody is a tough, streetwise character portrayed by Joe Don Baker in the 1973 crime film "The Outfit."
 E2007522 NE FINISHED

How this triple was built (3 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: Cody | Statement: [The Outfit, characterPortrayedByJoeDonBaker, Cody]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cody
Triple: [The Outfit, characterPortrayedByJoeDonBaker, Cody]
Generated description
Cody is a tough, streetwise character portrayed by Joe Don Baker in the 1973 crime film "The Outfit."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: characterPortrayedByJoeDonBaker
Context triple: [The Outfit, characterPortrayedByJoeDonBaker, Cody]
  • A. characterPortrayedByBillyDeWolfe
    Indicates that a given character is portrayed or voiced by the actor Billy DeWolfe.
  • B. leadActorForCharacter Joe Barrett
    Indicates that the specified person is the primary actor portraying the character Joe Barrett.
  • C. characterVoicedBy Denis Leary
    Indicates that the character is voiced by Denis Leary.
  • D. sonCharacterPortrayedBy
    Indicates that a person is the actor who portrays a specific son character in a work of fiction.
  • E. characterPortrayedByHenryStephenson
    Indicates that a character is portrayed or played by the actor Henry Stephenson.
  • F. None of above. chosen

Provenance (7 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_69f3491df9288190afc0b23b1d6e72ce completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fee0b2da3c8190a3519d0564f2f32d completed May 9, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34668db8748190b970ca9ee5be762b completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a3466f97610819092b635dcbaf7ef69 completed June 18, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a3467d8a7c08190a8a3abb44e404478 completed June 18, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69fee05b315c819081dfcbfb15273487 completed May 9, 2026, 7:20 a.m.
PDg Predicate description generation batch_69fee0b03a0c81909117dc5915d77295 completed May 9, 2026, 7:22 a.m.
Created at: May 1, 2026, 12:56 a.m.