Triple
T31323675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry On Girls |
E798819
|
entity |
| Predicate | seriesNumberWithinCarryOn |
P114963
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Carry On Girls, seriesNumberWithinCarryOn, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberWithinCarryOn Context triple: [Carry On Girls, seriesNumberWithinCarryOn, 25]
-
A.
seriesNumberInCarryOn
chosen
Indicates that an item has a specific series or sequence number within a set of carry-on items.
-
B.
seriesNumberInAdventureSeries
Indicates the position or installment number that an item occupies within an adventure series.
-
C.
reporterSeriesNumber
Indicates the numerical designation of a particular series within a set of reports or reporter publications.
-
D.
hasSeriesNumber
Indicates that an entity is assigned a specific ordinal or sequence number within a series or ordered set.
-
E.
seriesContinuity
Indicates that one work, episode, or installment maintains narrative or canonical continuity with another within the same series.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 9:15 p.m.