Triple

T31699031
Position Surface form Disambiguated ID Type / Status
Subject Gene Tenace E809001 entity
Predicate fullName P16 FINISHED
Object Fury Gene Tenace
Fury Gene Tenace is a former American Major League Baseball catcher and first baseman best known for his clutch hitting, particularly in the postseason with the Oakland Athletics in the early 1970s.
E1974294 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: Fury Gene Tenace | Statement: [Gene Tenace, fullName, Fury Gene Tenace]
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: Fury Gene Tenace
Triple: [Gene Tenace, fullName, Fury Gene Tenace]
Generated description
Fury Gene Tenace is a former American Major League Baseball catcher and first baseman best known for his clutch hitting, particularly in the postseason with the Oakland Athletics in the early 1970s.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaa75af081909b75eb09963f2b3a completed May 3, 2026, 1:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84c7ec948190a6438be498306e50 completed June 12, 2026, 4:02 a.m.
NEDg Description generation batch_6a2b857dd8708190984e04b26d63e120 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8680bf2481908a1d59faf84ade89 completed June 12, 2026, 4:09 a.m.
Created at: April 30, 2026, 11:11 p.m.