Triple

T24863151

Position	Surface form	Disambiguated ID	Type / Status
Subject	Herb Elliott	`E622207`	entity
Predicate	fullName	`P16`	FINISHED
Object	Herbert James Elliott Herbert James Elliott is an Australian former middle-distance runner renowned for dominating the 1500 metres and mile in the late 1950s and early 1960s, including winning Olympic gold in 1960.	`E1690246`	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: Herbert James Elliott | Statement: [Herb Elliott, fullName, Herbert James Elliott]

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: Herbert James Elliott
Triple: [Herb Elliott, fullName, Herbert James Elliott]

Generated description

Herbert James Elliott is an Australian former middle-distance runner renowned for dominating the 1500 metres and mile in the late 1950s and early 1960s, including winning Olympic gold in 1960.

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_69e2fac350d08190b3affde1b451a8c5`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f422ffef688190a29c7f51860b16cf`	completed	May 1, 2026, 3:50 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10c10a24808190977d5982f071b2c2`	completed	May 22, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a10c2a7e0b48190b17dd8b9bd8ccc0f`	completed	May 22, 2026, 8:55 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10c332191c81908f970d18fb2f37e9`	completed	May 22, 2026, 8:57 p.m.

Created at: April 18, 2026, 5:22 a.m.