Triple
T31698668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Halpert |
E808987
|
entity |
| Predicate | worksAtDeskOf |
P93240
|
FINISHED |
| Object | reception area |
—
|
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: reception area | Statement: [Pam Halpert, worksAtDeskOf, reception area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksAtDeskOf Context triple: [Pam Halpert, worksAtDeskOf, reception area]
-
A.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
B.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
C.
worksNear
Indicates that one entity performs its work or duties in close physical proximity to another entity.
-
D.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
E.
officeDeskLocation
chosen
Indicates the specific desk or workstation location assigned to or used by an entity within an office space.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 30, 2026, 11:11 p.m.