Triple
T36964566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clair de Lune |
E914392
|
entity |
| Predicate | numberInSuite |
P187912
|
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: [Clair de Lune, numberInSuite, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInSuite Context triple: [Clair de Lune, numberInSuite, 3]
-
A.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
B.
cardNumberInSet
chosen
Indicates that a specific card has a particular number or position within a defined set or collection of cards.
-
C.
hasCardSuit
Indicates that an entity (such as a playing card) is associated with a particular suit (e.g., hearts, diamonds, clubs, spades).
-
D.
hasNumberOfCardsInMinorArcana
Indicates the specific count of cards that an entity possesses within the Minor Arcana subset of a tarot deck.
-
E.
catalogueNumberOfSuite
Indicates the specific catalogue number assigned to a suite within a larger cataloging or classification system.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.