Triple
T26510868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George O'Malley |
E669677
|
entity |
| Predicate | jobTitleAtStart |
P99428
|
FINISHED |
| Object | surgical intern |
—
|
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: surgical intern | Statement: [George O'Malley, jobTitleAtStart, surgical intern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jobTitleAtStart Context triple: [George O'Malley, jobTitleAtStart, surgical intern]
-
A.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
B.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
C.
professionalTitleAfterCompletion
Indicates that an entity is granted or holds a specific professional title as a result of successfully completing a particular program, course, or qualification.
-
D.
roleDuringOccupation
chosen
Indicates the specific role or position an entity held during a particular occupation or period of control.
-
E.
professionStartLocation
Indicates the place where an individual begins or first takes up their profession or career.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61391ca58819093a6561a9c4ae670 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:20 a.m.