Triple
T24254445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Crean |
E603627
|
entity |
| Predicate | postExplorationOccupation |
P90420
|
FINISHED |
| Object | publican |
—
|
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: publican | Statement: [Tom Crean, postExplorationOccupation, publican]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postExplorationOccupation Context triple: [Tom Crean, postExplorationOccupation, publican]
-
A.
workExplores
Indicates that a work investigates, examines, or delves into a particular subject, theme, or concept.
-
B.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
C.
latestOccupation
chosen
Indicates the most recent job, role, or position that an entity currently holds or last held.
-
D.
relatedCommunityOccupation
Indicates that an entity has an occupation or role that is associated with, serves, or is otherwise connected to a particular community.
-
E.
occupationAspiration
Indicates a person's desired or intended future occupation or career goal.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b8ca4988190b565c2873dc6559d |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.