Triple
T9146942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filbert Fox |
E219479
|
entity |
| Predicate | teamNumberDisplayed |
P74174
|
FINISHED |
| Object | varies by costume |
—
|
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: varies by costume | Statement: [Filbert Fox, teamNumberDisplayed, varies by costume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberDisplayed Context triple: [Filbert Fox, teamNumberDisplayed, varies by costume]
-
A.
teamNumber
Indicates the specific numeric identifier assigned to a team within a larger group or system.
-
B.
teamNumberContext
chosen
Indicates that a specific team number is associated with or interpreted within a particular contextual setting or scope.
-
C.
collegeTeamNumber
Indicates the identifying number assigned to a college sports team.
-
D.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
E.
playerNumber
Indicates the specific jersey or identification number assigned to a player within a team or game context.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca918a3c881909c34a6a682eb2625 |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:20 p.m.