Triple
T16616353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Allyne Otis |
E403705
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Otis |
E266833
|
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: Otis | Statement: [Mary Allyne Otis, familyName, Otis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otis Context triple: [Mary Allyne Otis, familyName, Otis]
-
A.
Otis
Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
-
B.
Otis
"Otis" is a hip-hop track by Jay-Z and Kanye West featuring a prominent Otis Redding sample, known for its celebratory tone and showcase of their lyrical chemistry.
-
C.
Otis
chosen
Otis is a masculine given name most famously associated with legendary American soul singer Otis Redding.
-
D.
Otis
Otis is a small rural town in western Massachusetts known for its forests, lakes, and outdoor recreation.
-
E.
Otis Brazil
Otis Brazil is the Brazilian subsidiary of the global Otis Elevator Company, responsible for manufacturing, installing, and servicing elevators and escalators in Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e375494260819099b6988857c52dde |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007daef18481908c3628a3466300ce |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.