Triple

T32292008
Position Surface form Disambiguated ID Type / Status
Subject Woodhead Commission E824987 entity
Predicate chairperson P377 FINISHED
Object Sir John Woodhead
Sir John Woodhead was a British civil servant best known for leading the 1938 Woodhead Commission that re-examined proposals for the partition of Mandatory Palestine.
E1999504 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: Sir John Woodhead | Statement: [Woodhead Commission, chairperson, Sir John Woodhead]
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: Sir John Woodhead
Triple: [Woodhead Commission, chairperson, Sir John Woodhead]
Generated description
Sir John Woodhead was a British civil servant best known for leading the 1938 Woodhead Commission that re-examined proposals for the partition of Mandatory Palestine.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd3500608190ba9e172c0458ff9f completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46f255508190bbd0afce722ffb6e completed June 15, 2026, 12:27 a.m.
NEDg Description generation batch_6a2f4a3f26748190b975df6e97995182 completed June 15, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a2f4b1ceb948190b1c340b2fa3ed474 completed June 15, 2026, 12:45 a.m.
Created at: May 1, 2026, 12:44 a.m.