Triple
T4840551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Lawrence |
E108168
|
entity |
| Predicate | recruitRating |
P23326
|
FINISHED |
| Object | five-star recruit |
—
|
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: five-star recruit | Statement: [Trevor Lawrence, recruitRating, five-star recruit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitRating Context triple: [Trevor Lawrence, recruitRating, five-star recruit]
-
A.
careerPasserRating
Indicates a player's overall passer rating calculated across their entire career, summarizing their long-term passing performance.
-
B.
recruitingReputation
Indicates the perceived quality or effectiveness of an entity’s ability to attract and hire desirable candidates.
-
C.
rankGrade
chosen
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
D.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
-
E.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.