Triple

T36229934
Position Surface form Disambiguated ID Type / Status
Subject George Pollock E891211 entity
Predicate positionHeld P8 FINISHED
Object Resident at Lucknow
Resident at Lucknow was a senior British East India Company diplomatic and administrative post responsible for managing political relations and oversight in the princely state of Awadh (Oudh) from the city of Lucknow.
 E2175205 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: Resident at Lucknow | Statement: [George Pollock, positionHeld, Resident at Lucknow]
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: Resident at Lucknow
Triple: [George Pollock, positionHeld, Resident at Lucknow]
Generated description
Resident at Lucknow was a senior British East India Company diplomatic and administrative post responsible for managing political relations and oversight in the princely state of Awadh (Oudh) from the city of Lucknow.

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_69f76e4387048190a1b27bcbf4ec7423 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5a2e2288190b32988c69c68a13d completed May 3, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a394d3a31408190b9599a4f081c437b completed June 22, 2026, 2:56 p.m.
NEDg Description generation batch_6a39530f1d208190ab880a326c60fe81 completed June 22, 2026, 3:21 p.m.
NED2 Entity disambiguation (via description) batch_6a395371243c8190a84ed9c563de0b0e completed June 22, 2026, 3:23 p.m.
Created at: May 3, 2026, 4:09 p.m.