Triple

T34769938
Position Surface form Disambiguated ID Type / Status
Subject Cameron International E1002335 entity
Predicate formerName P65 FINISHED
Object Cooper Cameron Corporation
Cooper Cameron Corporation was the former name of Cameron International, a major oilfield services and equipment company known for its pressure control and flow equipment for the oil and gas industry.
E2110842 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: Cooper Cameron Corporation | Statement: [Cameron International, formerName, Cooper Cameron Corporation]
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: Cooper Cameron Corporation
Triple: [Cameron International, formerName, Cooper Cameron Corporation]
Generated description
Cooper Cameron Corporation was the former name of Cameron International, a major oilfield services and equipment company known for its pressure control and flow equipment for the oil and gas industry.

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_69f76db20dac8190b1e8d0ca4dc1d59f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a20c5008190b0b9c4a3db3257e2 completed May 3, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3766398bc88190a4f5047116a7cb6b completed June 21, 2026, 4:19 a.m.
NEDg Description generation batch_6a3766dc07588190a5ea26c3164e8e48 completed June 21, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a37674499f48190acdf8435007fa4dc completed June 21, 2026, 4:23 a.m.
Created at: May 3, 2026, 3:59 p.m.