Triple
T6311197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Campbell |
E141504
|
entity |
| Predicate | numberOfProBowlSelections |
P27897
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Earl Campbell, numberOfProBowlSelections, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProBowlSelections Context triple: [Earl Campbell, numberOfProBowlSelections, 5]
-
A.
selectedToProBowl
Indicates that an athlete has been chosen to participate in the Pro Bowl all-star game.
-
B.
proBowlSelectionCount
Indicates the number of times an entity has been selected to participate in the Pro Bowl.
-
C.
nflAllProSelection
Indicates that a player was selected to an NFL All-Pro team for a given season or time period.
-
D.
nflProBowls
chosen
Indicates the number of times a player has been selected to participate in the NFL Pro Bowl all-star game.
-
E.
allProSelectionCount
Indicates the number of times an entity has been selected for an All-Pro team or equivalent top-level professional recognition.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.