Triple
T27139414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Sacks |
E681773
|
entity |
| Predicate | notableForNetwork |
P200427
|
FINISHED |
| Object | Disney Channel |
—
|
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: Disney Channel | Statement: [Alan Sacks, notableForNetwork, Disney Channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForNetwork Context triple: [Alan Sacks, notableForNetwork, Disney Channel]
-
A.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
B.
notableBroadcast
Indicates that an entity is recognized for having made a significant or widely known broadcast.
-
C.
notableBroadcaster
Indicates that the subject is a broadcaster who is particularly prominent, influential, or widely recognized.
-
D.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
notableChannel
Indicates that a channel is recognized as particularly significant, prominent, or noteworthy in some context.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
| PDg | Predicate description generation | batch_69ff8afe9d5c8190bd5ae434fc2b550b |
completed | May 9, 2026, 7:29 p.m. |
Created at: April 27, 2026, 9:08 a.m.