Triple
T14079647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Peyton |
E338831
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Evan Dunsky |
E410500
|
NE 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: Evan Dunsky | Statement: [Jackie Peyton, createdBy, Evan Dunsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Dunsky Context triple: [Jackie Peyton, createdBy, Evan Dunsky]
-
A.
Evan Dunsky
chosen
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
-
B.
Evan Ross
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
C.
Evan Burrows
Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
-
D.
Evan Fisher
Evan Fisher is a central character in the romantic drama anthology series "Cherish the Day," playing a key role in the unfolding love story of its first season.
-
E.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d756bb48190ae5598e48b281f71 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 9, 2026, 10:21 p.m.