Triple

T26745818
Position Surface form Disambiguated ID Type / Status
Subject Bill Stanfill E674398 entity
Predicate fullName P16 FINISHED
Object William Thomas Stanfill
William Thomas Stanfill was an American professional football defensive end best known for his standout career with the Miami Dolphins in the National Football League during the late 1960s and 1970s.
E1749466 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: William Thomas Stanfill | Statement: [Bill Stanfill, fullName, William Thomas Stanfill]
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: William Thomas Stanfill
Triple: [Bill Stanfill, fullName, William Thomas Stanfill]
Generated description
William Thomas Stanfill was an American professional football defensive end best known for his standout career with the Miami Dolphins in the National Football League during the late 1960s and 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_69eecda63a3881908095c47900692e65 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f61884504881908287c6fecb3a3105 completed May 2, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12297eac2c8190a0b1327d96dc5122 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a2048408190a3a8cf5a2efa9b08 completed May 23, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_6a122ac1713481909a80761bb471ef49 completed May 23, 2026, 10:31 p.m.
Created at: April 27, 2026, 3:51 a.m.