Triple
T11836200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crash Bandicoot: The Wrath of Cortex |
E281521
|
entity |
| Predicate | mainSeriesInstallmentNumber |
P42681
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Crash Bandicoot: The Wrath of Cortex, mainSeriesInstallmentNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSeriesInstallmentNumber Context triple: [Crash Bandicoot: The Wrath of Cortex, mainSeriesInstallmentNumber, 4]
-
A.
filmSeriesInstallmentNumber
Indicates the specific sequential position that a film occupies within a film series.
-
B.
franchiseInstallmentNumber
chosen
Indicates the sequential position or installment number of a work within a larger franchise or series.
-
C.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
-
D.
episodeNumberInSeries
Indicates the specific sequential position an episode occupies within its overall series.
-
E.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a254a57481908a1e6ad97919c416 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.