Triple
T30014225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Ark |
E762550
|
entity |
| Predicate | numberOfFailedTakesBeforeFinal |
P201961
|
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: [Russian Ark, numberOfFailedTakesBeforeFinal, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFailedTakesBeforeFinal Context triple: [Russian Ark, numberOfFailedTakesBeforeFinal, 3]
-
A.
numberOfTakesUsed
Indicates the specific count of takes that were actually used in the final version of a recording or production.
-
B.
numberOfSurvivingTakes
Indicates the count of takes or attempts that successfully remained valid or usable after others were discarded or failed.
-
C.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
D.
attemptNumber
Indicates the specific ordinal count of attempts made for a given action or process.
-
E.
rescueAttemptNumber
Indicates the ordinal count of distinct attempts made to carry out a rescue in a given rescue situation or operation.
- 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_6a0039c2d5d48190b8ef2c7ef17d8dc5 |
completed | May 10, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_6a0038e525448190a4c815f51595e78d |
completed | May 10, 2026, 7:51 a.m. |
| PDg | Predicate description generation | batch_6a0039c1eec48190963671a5b8c5f631 |
completed | May 10, 2026, 7:54 a.m. |
Created at: April 29, 2026, 6:45 p.m.