Triple

T31033283
Position Surface form Disambiguated ID Type / Status
Subject Tunstall–McSween faction E790786 entity
Predicate hasMember P10 FINISHED
Object Frank Coe
Frank Coe was an American cowboy and gunman best known for his role as a Lincoln County War combatant and associate of Billy the Kid in late 19th-century New Mexico.
 E1942196 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: Frank Coe | Statement: [Tunstall–McSween faction, hasMember, Frank Coe]
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: Frank Coe
Triple: [Tunstall–McSween faction, hasMember, Frank Coe]
Generated description
Frank Coe was an American cowboy and gunman best known for his role as a Lincoln County War combatant and associate of Billy the Kid in late 19th-century New Mexico.

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_69f224c97a788190b5da1ead6038a74e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694c3e0f881909ea3548ec8ab3eaf completed May 3, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29184c697c8190908c98da09899d55 completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a291920ea2081908db1559b54147427 completed June 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a29199ab674819099331e028cf6d811 completed June 10, 2026, 8 a.m.
Created at: April 29, 2026, 8:59 p.m.