Triple

T27992695
Position Surface form Disambiguated ID Type / Status
Subject Drake Well E706922 entity
Predicate associatedWithPerson P37 FINISHED
Object George H. Bissell
George H. Bissell was an American lawyer and entrepreneur widely regarded as a founding figure of the modern petroleum industry for organizing and financing early commercial oil drilling in Pennsylvania.
E2297472 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: George H. Bissell | Statement: [Drake Well, associatedWithPerson, George H. Bissell]
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: George H. Bissell
Triple: [Drake Well, associatedWithPerson, George H. Bissell]
Generated description
George H. Bissell was an American lawyer and entrepreneur widely regarded as a founding figure of the modern petroleum industry for organizing and financing early commercial oil drilling in Pennsylvania.

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_69ef96b980d88190a753b2f9a978595a completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63ba8ff308190876c52b659e5979d completed May 2, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a838944ce108190a880cac0d3df5560 completed Aug. 17, 2026, 10:20 p.m.
NEDg Description generation batch_6a8389ad8b7c81909455f2ed6e5fceaf completed Aug. 17, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_6a838a108f848190aefdf113c5b84c75 completed Aug. 17, 2026, 10:24 p.m.
Created at: April 27, 2026, 7:51 p.m.