Triple
T305651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Technologies Corporation |
E6291
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object |
Otis
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
|
E40973
|
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: Otis | Statement: [United Technologies Corporation, notableBrand, Otis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otis Context triple: [United Technologies Corporation, notableBrand, Otis]
-
A.
Stanley
Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
-
B.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
C.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
D.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
E.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
- 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: Otis Triple: [United Technologies Corporation, notableBrand, Otis]
Generated description
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otis Target entity description: Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
-
A.
Stanley
Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
-
B.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
C.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
D.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
E.
Gordon
Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea11c4908190a8723033bdf6f479 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b480388190b5f7f9e11479de91 |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c91e8b88819099e54b7869cc293d |
completed | March 1, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c9731df881908e342ace3635b5cc |
completed | March 1, 2026, 5:06 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.