Triple
T26510869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George O'Malley |
E669677
|
entity |
| Predicate | jobTitleLater |
P75487
|
FINISHED |
| Object | surgical resident |
—
|
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 resident | Statement: [George O'Malley, jobTitleLater, surgical resident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jobTitleLater Context triple: [George O'Malley, jobTitleLater, surgical resident]
-
A.
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.
-
B.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
C.
memberLaterOccupation
chosen
Indicates that an individual later held a particular occupation or position after an earlier point in time or role.
-
D.
workTitleType
Indicates the specific category or type of a work’s title (e.g., main title, alternative title, translated title) in relation to that work.
-
E.
laterCareer
Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
- 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_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:20 a.m.