Triple

T28747661
Position Surface form Disambiguated ID Type / Status
Subject The Appaloosa E731421 entity
Predicate characterPlayedByMarlonBrando P192366 FINISHED
Object Matt Fletcher
Matt Fletcher is the protagonist of the 1966 Western film "The Appaloosa," a Mexican-American cowboy seeking to reclaim his prized horse from a ruthless bandit.
 E1832583 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: Matt Fletcher | Statement: [The Appaloosa, characterPlayedByMarlonBrando, Matt Fletcher]
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: Matt Fletcher
Triple: [The Appaloosa, characterPlayedByMarlonBrando, Matt Fletcher]
Generated description
Matt Fletcher is the protagonist of the 1966 Western film "The Appaloosa," a Mexican-American cowboy seeking to reclaim his prized horse from a ruthless bandit.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: characterPlayedByMarlonBrando
Context triple: [The Appaloosa, characterPlayedByMarlonBrando, Matt Fletcher]
  • A. characterPlayedBy_Charles Bronson
    Indicates that a given character is portrayed or acted by Charles Bronson.
  • B. characterPlayedByGeneHackman
    Indicates that a given character is portrayed or acted by Gene Hackman.
  • C. characterVoicedBy_James Brolin
    Indicates that a character is voiced by James Brolin in a performance or production.
  • D. characterPlayedBy Edward G. Robinson
    Indicates that a given character is portrayed or acted by Edward G. Robinson.
  • E. leadCharacterPlayedByClarkGable
    Indicates that the work’s lead character is portrayed by the actor Clark Gable.
  • 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_69f043ecb5c081909ec9da1172d68ece completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fd09840ea88190a2e6d7e577ade717 completed May 7, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a252e2a88190aa0064bf2c5502e0 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a449eb0c8190bc8dabf6810bd510 completed June 6, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_6a24a7f9e4288190ba1a0d2fb4d552a2 completed June 6, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69fd064c49988190afadddbd04d7cb94 completed May 7, 2026, 9:38 p.m.
PDg Predicate description generation batch_69fd098357348190a835c0b6d99857d2 completed May 7, 2026, 9:52 p.m.
Created at: April 28, 2026, 6:06 a.m.