Triple
T35625269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Barber |
E1029432
|
entity |
| Predicate | networkOfTelevisionWork |
P106243
|
FINISHED |
| Object | Apple TV+ |
—
|
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: Apple TV+ | Statement: [Andy Barber, networkOfTelevisionWork, Apple TV+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOfTelevisionWork Context triple: [Andy Barber, networkOfTelevisionWork, Apple TV+]
-
A.
televisionWork
Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
-
B.
networkOfSeries
Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
-
C.
networkOfAppearance
Indicates a relationship where entities are connected through shared or co-occurring appearances within the same context, medium, or setting.
-
D.
networkOfProgram
chosen
Indicates a relationship where a program is part of, or connected within, a broader network of related programs or systems.
-
E.
worksOnTVShow
Indicates that an individual is professionally involved in the production or creation of a particular television show.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ef4a5f481909f3241a4e20ea37e |
completed | May 3, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.