Triple

T23944167
Position Surface form Disambiguated ID Type / Status
Subject National Instruments Corporation E602867 entity
Predicate acquiredBy P347 FINISHED
Object Emerson Electric Co.
Emerson Electric Co. is a U.S.-based multinational technology and engineering company that provides industrial automation, commercial and residential solutions, and related services worldwide.
 E1610400 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: Emerson Electric Co. | Statement: [National Instruments Corporation, acquiredBy, Emerson Electric Co.]
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: Emerson Electric Co.
Triple: [National Instruments Corporation, acquiredBy, Emerson Electric Co.]
Generated description
Emerson Electric Co. is a U.S.-based multinational technology and engineering company that provides industrial automation, commercial and residential solutions, and related services worldwide.

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_69e2953e4924819093f1c24c03476b42 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d02d07b08190acbcbb646cd9a58e completed April 29, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f76518be8819089e44adbc027e516 completed May 21, 2026, 9:17 p.m.
NEDg Description generation batch_6a0f77225bec81908590adc4f49a1e1e completed May 21, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78c015108190bb84972406f84239 completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 9:11 p.m.