Triple
T14191987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston |
E351733
|
entity |
| Predicate | roleAtLocation |
P69710
|
FINISHED |
| Object | manager of the New York Continental Hotel |
—
|
LITERAL 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: manager of the New York Continental Hotel | Statement: [Winston, roleAtLocation, manager of the New York Continental Hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtLocation Context triple: [Winston, roleAtLocation, manager of the New York Continental Hotel]
-
A.
hasLocationRole
chosen
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
B.
roleAsPlace
Indicates that an entity functions or is used as a place or location in relation to another entity or event.
-
C.
roleAtMidway
Indicates that an entity holds or held a specific role, position, or function at the midpoint or intermediate stage of a process, event, or time period.
-
D.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
E.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
- F. None of above.
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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.