Triple

T29403182
Position Surface form Disambiguated ID Type / Status
Subject Tom Mix E745706 entity
Predicate spouse P13 FINISHED
Object Olive Stokes
Olive Stokes was the wife of silent film cowboy star Tom Mix and is primarily remembered for her marriage to the legendary Western actor.
E1870875 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: Olive Stokes | Statement: [Tom Mix, spouse, Olive Stokes]
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: Olive Stokes
Triple: [Tom Mix, spouse, Olive Stokes]
Generated description
Olive Stokes was the wife of silent film cowboy star Tom Mix and is primarily remembered for her marriage to the legendary Western actor.

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_69f0a79eb7d081908c67197a5f347e68 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66a3143948190aeff396f02748fb8 completed May 2, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c0860f8819080b3abe16ae748c6 completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a261725d4d081909c3b0068d98e605a completed June 8, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a26177eff78819091c84414e2aa18f5 completed June 8, 2026, 1:14 a.m.
Created at: April 28, 2026, 2:52 p.m.