Triple
T6241259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando Pace |
E139604
|
entity |
| Predicate | selectedSecondTeamAllPro |
P59080
|
FINISHED |
| Object | 4 times |
—
|
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: 4 times | Statement: [Orlando Pace, selectedSecondTeamAllPro, 4 times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectedSecondTeamAllPro Context triple: [Orlando Pace, selectedSecondTeamAllPro, 4 times]
-
A.
FirstTeamAllProSelectionCount
Indicates the number of times an entity has been selected to a First-Team All-Pro.
-
B.
allProSecondTeamSelectionCount
chosen
Indicates the number of times an entity has been selected to the All-Pro Second Team.
-
C.
namedFirstTeamAllPro
Indicates that an entity was selected to the First-team All-Pro roster in a given season or context.
-
D.
selectedToNHLSecondAllStarTeam
Indicates that an individual was chosen for the NHL Second All-Star Team for a given season or event.
-
E.
notablePlayerTeam2
Indicates that the second team in a context has a player who is particularly notable or distinguished.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0630797f88190a5571f6000ba2e3b |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.