Triple

T28699417
Position Surface form Disambiguated ID Type / Status
Subject Monte Walsh (2003 TV film) E729507 entity
Predicate characterRole P268 FINISHED
Object Tom Selleck as Monte Walsh
Tom Selleck as Monte Walsh is the portrayal by actor Tom Selleck of an aging cowboy confronting the end of the Old West in the 2003 television Western film "Monte Walsh."
E1831551 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: Tom Selleck as Monte Walsh | Statement: [Monte Walsh (2003 TV film), characterRole, Tom Selleck as Monte Walsh]
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: Tom Selleck as Monte Walsh
Triple: [Monte Walsh (2003 TV film), characterRole, Tom Selleck as Monte Walsh]
Generated description
Tom Selleck as Monte Walsh is the portrayal by actor Tom Selleck of an aging cowboy confronting the end of the Old West in the 2003 television Western film "Monte Walsh."

Provenance (5 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_69f043e6e9688190b6bdd6e5665498ff completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f656b2966c819097ef8bf06148f747 completed May 2, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf4c82988190a1f1f874a4f64c48 completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd020780c81908d33cd9d1676a762 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a24947d54208190bbc915f3e5d8295a completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 5:41 a.m.