Triple
T36567197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Images, Book I |
E902010
|
entity |
| Predicate | firstPiece |
P123605
|
FINISHED |
| Object | Reflets dans l’eau |
E899624
|
NE 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: Reflets dans l’eau | Statement: [Images, Book I, firstPiece, Reflets dans l’eau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPiece Context triple: [Images, Book I, firstPiece, Reflets dans l’eau]
-
A.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
B.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
C.
firstPartSeries
chosen
Indicates that one entity is the initial installment or beginning segment in a series of related entities.
-
D.
firstMovement
Indicates that an entity represents the initial or earliest movement, action, or motion in a sequence of movements.
-
E.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
- F. None of above.
Provenance (4 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6f86a2881908e83d030af707303 |
completed | June 23, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.