Triple

T24176477
Position Surface form Disambiguated ID Type / Status
Subject Endurance Expedition E599295 entity
Predicate expeditionSurgeon P155588 FINISHED
Object James McIlroy
James McIlroy was a British surgeon and Antarctic explorer best known for serving as one of the doctors on Sir Ernest Shackleton’s Imperial Trans-Antarctic (Endurance) Expedition.
E1619969 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: James McIlroy | Statement: [Endurance Expedition, expeditionSurgeon, James McIlroy]
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: James McIlroy
Triple: [Endurance Expedition, expeditionSurgeon, James McIlroy]
Generated description
James McIlroy was a British surgeon and Antarctic explorer best known for serving as one of the doctors on Sir Ernest Shackleton’s Imperial Trans-Antarctic (Endurance) Expedition.

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_69e288cca05481908faeb1563711114a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f287d9cb4481909a77616dc123d16b completed April 29, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad4119c4819084b2e7c1c7120f96 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae2e5188819084da9d0a77697c72 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faecda22881909d9617138ceca0d9 completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 11:34 p.m.