Triple
T28204529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I've Never Seen Star Wars |
E716978
|
entity |
| Predicate | numberOfRadioSeries |
P199616
|
FINISHED |
| Object | multiple series |
—
|
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: multiple series | Statement: [I've Never Seen Star Wars, numberOfRadioSeries, multiple series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRadioSeries Context triple: [I've Never Seen Star Wars, numberOfRadioSeries, multiple series]
-
A.
hasRadioSeries
Indicates that one entity is associated with, or is the subject of, a radio series based on it or about it.
-
B.
televisionSeriesCount
Indicates the number of television series associated with or attributed to an entity.
-
C.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
D.
numberOfSeriesPerSeason
Indicates the total count of series (or episodes/instalments) that occur within a single season of something.
-
E.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
| PDg | Predicate description generation | batch_69ff490096388190832a90e9abbc8d81 |
completed | May 9, 2026, 2:47 p.m. |
Created at: April 27, 2026, 10:34 p.m.