Triple
T25488648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Conway |
E638779
|
entity |
| Predicate | teamNumberChange |
P25202
|
FINISHED |
| Object | switches to number 96 in D2: The Mighty Ducks |
—
|
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: switches to number 96 in D2: The Mighty Ducks | Statement: [Charlie Conway, teamNumberChange, switches to number 96 in D2: The Mighty Ducks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberChange Context triple: [Charlie Conway, teamNumberChange, switches to number 96 in D2: The Mighty Ducks]
-
A.
teamNumberContext
Indicates that a specific team number is associated with or interpreted within a particular contextual setting or scope.
-
B.
teamNumber
chosen
Indicates the specific numeric identifier assigned to a team within a larger group or system.
-
C.
teamNumberType
Indicates the type or category assigned to a team’s identifying number within a given system or context.
-
D.
teamNumberRole
Indicates that a specific team, identified by its number, is associated with a particular role or function.
-
E.
rebootNumberOfTeams
Indicates the number of teams involved in or affected by a particular reboot event or process.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:34 p.m.