Triple
T34753727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016–17 OHL season |
E1001856
|
entity |
| Predicate | hasAllRookieTeam |
P194873
|
FINISHED |
| Object | OHL First All-Rookie Team |
—
|
NE NERFINISHED |
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: OHL First All-Rookie Team | Statement: [2016–17 OHL season, hasAllRookieTeam, OHL First All-Rookie Team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllRookieTeam Context triple: [2016–17 OHL season, hasAllRookieTeam, OHL First All-Rookie Team]
-
A.
rookieOfTheYearOnTeam
Indicates that an entity was selected as the Rookie of the Year while playing for a specified team.
-
B.
isEarlyTeamOf
Indicates that one entity was part of the initial or founding group associated with another entity, before later members or teams joined.
-
C.
rookieSeason
Indicates the season in which an individual first begins their professional or official participation in a given activity or league.
-
D.
hasAllAmericanPlayers
Indicates that all players associated with an entity have been recognized as All-American.
-
E.
hasFarmTeam
Indicates that one organization serves as a lower-level or affiliated team that develops players or resources for another organization.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 3, 2026, 3:59 p.m.