Triple
T16317055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Shore |
E396195
|
entity |
| Predicate | writesForMedium |
P122662
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [David Shore, writesForMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writesForMedium Context triple: [David Shore, writesForMedium, television]
-
A.
writingMediumModern
Indicates that the writing activity is carried out using a modern medium or tool (such as digital or contemporary writing instruments) rather than traditional ones.
-
B.
editingMedium
Indicates the medium or format through which an editing action is performed or realized.
-
C.
writesForAudience
Indicates that an agent creates written content intended specifically for a particular audience or readership.
-
D.
writesAs
Indicates that an entity creates written content under a particular name, style, or persona.
-
E.
wrote
Indicates that an entity is the author or creator of a written work involving 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.