Triple
T21007522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikmin 3 |
E517450
|
entity |
| Predicate | numberOfPlayableCaptains |
P48193
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Pikmin 3, numberOfPlayableCaptains, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPlayableCaptains Context triple: [Pikmin 3, numberOfPlayableCaptains, 3]
-
A.
numberOfTestsAsCaptain
Indicates the total count of test matches in which an entity served in the role of captain.
-
B.
numberOfPlayableCharacters
chosen
Indicates the total count of distinct characters that can be actively controlled or played by a user in a game or interactive experience.
-
C.
hasNotableCaptain
Indicates that an entity has a specific captain who is recognized as notable or distinguished in some way.
-
D.
coCaptain
Indicates that two or more individuals share the role and responsibilities of captain jointly.
-
E.
captainFranchiseAtTime
Indicates that an individual serves as the captain of a particular franchise during a specified time period.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3cc8648190b1a419ef734a69e6 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:53 p.m.