Triple
T32404179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Carrieri |
E828031
|
entity |
| Predicate | selectionNumber |
P16886
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Chris Carrieri, selectionNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionNumber Context triple: [Chris Carrieri, selectionNumber, 1]
-
A.
selectionSessionNumber
chosen
Indicates the specific numbered position or identifier assigned to a selection within a sequence or session of selections.
-
B.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
C.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
D.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
-
E.
selectedTo
Indicates that one entity has been chosen or designated from a set of candidates to perform a role, receive something, or participate in an activity in relation to another entity.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2451e108190a73ccfdc99203d55 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:53 a.m.