Triple
T32787974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachtstück No. 2 in C major, Op. 23 |
E838548
|
entity |
| Predicate | numberOfHands |
P62675
|
FINISHED |
| Object | two hands |
—
|
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: two hands | Statement: [Nachtstück No. 2 in C major, Op. 23, numberOfHands, two hands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHands Context triple: [Nachtstück No. 2 in C major, Op. 23, numberOfHands, two hands]
-
A.
hasNumberOfHands
chosen
Indicates the specific count of hands that an entity possesses.
-
B.
bestHandCardsUsed
Indicates that the specified cards are the ones actually used to form the player's best possible hand in a given game situation.
-
C.
numberOfCoups
Indicates the total count of coups (attempted or successful) associated with a given entity or context.
-
D.
hasHand
Indicates that an entity possesses or is equipped with a hand (or hands) as part of its body or structure.
-
E.
hasNumberOfCards
Indicates that an entity is associated with a specific quantity of cards.
- 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01d9ca07b88190b4ad70b6336447b6 |
completed | May 11, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_6a01d807c3048190b79f0b6b933dd3b7 |
completed | May 11, 2026, 1:22 p.m. |
Created at: May 1, 2026, 1:14 a.m.