Triple
T35625977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Sinclair |
E1029451
|
entity |
| Predicate | coCreatedSeriesForNetwork |
P183465
|
FINISHED |
| Object | HBO |
—
|
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: HBO | Statement: [Ben Sinclair, coCreatedSeriesForNetwork, HBO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coCreatedSeriesForNetwork Context triple: [Ben Sinclair, coCreatedSeriesForNetwork, HBO]
-
A.
coCreatedTelevisionSeriesWith
Indicates that two or more entities jointly created or were collaboratively responsible for the creation of a television series.
-
B.
coCreatedFranchiseWith
Indicates that two or more entities jointly created or originated the same franchise.
-
C.
originalNetworkForSeries
Indicates the television network on which a series was first originally broadcast or premiered.
-
D.
createdByNetwork
Indicates that something was produced, generated, or brought into existence through the actions or processes of a specific network (e.g., a computer, social, or neural network).
-
E.
seriesCreatorConnection
Indicates a relationship where one entity is the creator or originator of a series associated with another entity.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.