Triple

T25399728

Position	Surface form	Disambiguated ID	Type / Status
Subject	Peter Lalor	`E636386`	entity
Predicate	mother	`P120`	FINISHED
Object	Ann Dillon Ann Dillon was the mother of Irish-Australian rebel leader and politician Peter Lalor, a key figure in the Eureka Stockade.	`E1714040`	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: Ann Dillon | Statement: [Peter Lalor, mother, Ann Dillon]

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: Ann Dillon
Triple: [Peter Lalor, mother, Ann Dillon]

Generated description

Ann Dillon was the mother of Irish-Australian rebel leader and politician Peter Lalor, a key figure in the Eureka Stockade.

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_69e75db263888190b77fff9e2827b9a2`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f584f8802c819085d55049bd94b075`	completed	May 2, 2026, 5 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a118540e2dc81908224731e314a58ed`	completed	May 23, 2026, 10:45 a.m.
NEDg	Description generation	`batch_6a11861e622c8190a73ab247d696435a`	completed	May 23, 2026, 10:49 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1186bd48e48190a397267a101ef076`	completed	May 23, 2026, 10:51 a.m.

Created at: April 21, 2026, 1:50 p.m.