Triple
T3536271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Aniston as Dr. Julia Harris |
E74779
|
entity |
| Predicate | workplaceSetting |
P1527
|
FINISHED |
| Object | dentalPractice |
—
|
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: dentalPractice | Statement: [Jennifer Aniston as Dr. Julia Harris, workplaceSetting, dentalPractice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workplaceSetting Context triple: [Jennifer Aniston as Dr. Julia Harris, workplaceSetting, dentalPractice]
-
A.
workConditions
Indicates the terms, environment, and circumstances under which work or a job is performed.
-
B.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
C.
settingOfWork
Indicates the place, time, or environment in which a creative work’s narrative or events are situated.
-
D.
locationOfWork
chosen
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
E.
workMode
Indicates the manner, configuration, or operational state in which an entity performs its work or function.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69adae13ab808190a5d6ecdc7543445e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.