Triple
T20060928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tess |
E499469
|
entity |
| Predicate | partOfSeriesInstallment |
P51500
|
FINISHED |
| Object | tenth main Fast & Furious film |
—
|
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: tenth main Fast & Furious film | Statement: [Tess, partOfSeriesInstallment, tenth main Fast & Furious film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSeriesInstallment Context triple: [Tess, partOfSeriesInstallment, tenth main Fast & Furious film]
-
A.
franchiseInstallmentNumber
Indicates the sequential position or installment number of a work within a larger franchise or series.
-
B.
partOfSeriesWith
Indicates that one entity is a member or installment within the same series as another entity, linking them as related parts of a larger sequence or collection.
-
C.
filmSeriesInstallmentNumber
chosen
Indicates the specific sequential position that a film occupies within a film series.
-
D.
isFirstInstallmentOf
Indicates that one item is the initial part or opening installment in a larger series or sequence of related items.
-
E.
partOfCreativeCommonsReleaseSeries
Indicates that something belongs to or is included within a specific series of releases distributed under a Creative Commons license.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.