Triple
T9340023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second-team All-Pro |
E224739
|
entity |
| Predicate | usedInPlayerResumes |
P87609
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Second-team All-Pro, usedInPlayerResumes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInPlayerResumes Context triple: [Second-team All-Pro, usedInPlayerResumes, true]
-
A.
resumedIn
Indicates that an activity, process, or state that was previously paused or interrupted has started again within or at a specified context, time, or location.
-
B.
usedInPlayByPlayFor
Indicates that something (such as data, terminology, or a resource) is utilized within the context of a play-by-play account or commentary.
-
C.
usedInFantasySportsPlatforms
Indicates that something (such as data, content, or a feature) is utilized within fantasy sports platforms for gameplay, management, or related functionality.
-
D.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
isUsedToPlay
Indicates that something serves as an instrument, tool, or medium for engaging in a game, sport, or other form of play.
- F. None of above. chosen
Provenance (4 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:40 p.m.