Triple
T16022622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen Gamble |
E388639
|
entity |
| Predicate | deskBound |
P93240
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Allen Gamble, deskBound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deskBound Context triple: [Allen Gamble, deskBound, true]
-
A.
officeUnder
Indicates that one office is subordinate to, managed by, or organizationally within the authority of another office.
-
B.
officeDeskLocation
chosen
Indicates the specific desk or workstation location assigned to or used by an entity within an office space.
-
C.
layOffice
Indicates that one entity holds or occupies a particular office, position, or role in relation to another entity.
-
D.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
E.
officeState
Indicates the current operational or functional status of an office (e.g., open, closed, active, inactive) at a given 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.