Triple
T2370751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortive |
E46083
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Invetech
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
|
E261803
|
NE FINISHED |
How this triple was built (4 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: Invetech | Statement: [Fortive, owns, Invetech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Invetech Context triple: [Fortive, owns, Invetech]
-
A.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
United Scientific Instruments
United Scientific Instruments is a British optics company best known for producing military-grade optical sights and related precision instruments.
-
C.
Hi-Tek
Hi-Tek is an American hip hop producer and DJ best known for his soulful, sample-based beats and his collaborative work with Talib Kweli as part of the duo Reflection Eternal.
-
D.
Elxsi
Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
-
E.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Invetech Triple: [Fortive, owns, Invetech]
Generated description
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Invetech Target entity description: Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
-
A.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
United Scientific Instruments
United Scientific Instruments is a British optics company best known for producing military-grade optical sights and related precision instruments.
-
C.
Hi-Tek
Hi-Tek is an American hip hop producer and DJ best known for his soulful, sample-based beats and his collaborative work with Talib Kweli as part of the duo Reflection Eternal.
-
D.
Elxsi
Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
-
E.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
- F. None of above. chosen
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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76f5aec8190867d621e6849258c |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a2b1448190b19179cf379993ee |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aeac6b13ac81909042dddef15ec924 |
completed | March 9, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead16b0a881909103e26053cfad84 |
completed | March 9, 2026, 11:20 a.m. |
Created at: March 4, 2026, 7:56 p.m.