Triple
T23232061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sexus |
E581181
|
entity |
| Predicate | seriesNumberInTheRosyCrucifixion |
P102560
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sexus, seriesNumberInTheRosyCrucifixion, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInTheRosyCrucifixion Context triple: [Sexus, seriesNumberInTheRosyCrucifixion, 1]
-
A.
seriesNumberOfWorks
chosen
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
B.
numberOfStationsOfTheCross
Indicates the total count of Stations of the Cross associated with a given subject.
-
C.
orderOfRevelation
Indicates the sequence in which multiple related items, events, or pieces of information are revealed or disclosed.
-
D.
numberInStationsOfTheCross
Indicates the specific ordinal position that an event or scene occupies within the sequence of the Stations of the Cross.
-
E.
seriesNumberInTrilogy
Indicates the position or installment number that a work occupies within a specific trilogy.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1923325a08190a529da687de53489 |
completed | April 29, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.