Triple
T30014224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Ark |
E762550
|
entity |
| Predicate | numberOfTakesUsed |
P201946
|
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: [Russian Ark, numberOfTakesUsed, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTakesUsed Context triple: [Russian Ark, numberOfTakesUsed, 1]
-
A.
numberOfSurvivingTakes
Indicates the count of takes or attempts that successfully remained valid or usable after others were discarded or failed.
-
B.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
C.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
D.
numberOfImagesTaken
Indicates the quantity of images that have been captured or recorded in relation to a given subject or event.
-
E.
filmStripCount
Indicates the number of film strips associated with or contained in a given entity or context.
- F. None of above. chosen
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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
| PDg | Predicate description generation | batch_6a00383d83c08190af7bc00f17affd97 |
completed | May 10, 2026, 7:48 a.m. |
Created at: April 29, 2026, 6:45 p.m.