Triple

T24743061
Position Surface form Disambiguated ID Type / Status
Subject William Anthony Parker Jr. E618618 entity
Predicate mother P120 FINISHED
Object Pamela Firestone
Pamela Firestone is the mother of William Anthony Parker Jr., the former NBA point guard best known for his championship-winning career with the San Antonio Spurs.
E1749637 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: Pamela Firestone | Statement: [William Anthony Parker Jr., mother, Pamela Firestone]
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: Pamela Firestone
Triple: [William Anthony Parker Jr., mother, Pamela Firestone]
Generated description
Pamela Firestone is the mother of William Anthony Parker Jr., the former NBA point guard best known for his championship-winning career with the San Antonio Spurs.

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_69e2fab8f95c81908bb9e552cf3280c2 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410576f148190ae24cc1312ea51e9 completed May 1, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a122966816c8190bdd3a97dd4096d97 completed May 23, 2026, 10:25 p.m.
NEDg Description generation batch_6a122a3a3b3c8190ab41feb5652546bb completed May 23, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a122add10688190aa06ce1d690c1867 completed May 23, 2026, 10:31 p.m.
Created at: April 18, 2026, 4:18 a.m.