Triple
T27235097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flight 714 to Sydney |
E682250
|
entity |
| Predicate | narrativePositionInSeries |
P76763
|
FINISHED |
| Object | twenty-second Tintin adventure |
—
|
NE NERFINISHED |
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: twenty-second Tintin adventure | Statement: [Flight 714 to Sydney, narrativePositionInSeries, twenty-second Tintin adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativePositionInSeries Context triple: [Flight 714 to Sydney, narrativePositionInSeries, twenty-second Tintin adventure]
-
A.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
B.
hasPartOfSeriesPosition
chosen
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
C.
situatedInSeries
Indicates that one entity is located or positioned within a particular series, sequence, or ordered collection of related items.
-
D.
narrativeRoleInSeries
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
E.
positionInSeason
Indicates the specific ordinal placement or ranking of something within the sequence of items in a season.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 9:47 a.m.