Triple
T14641859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The War at Home |
E343743
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Dan Foliart |
E979358
|
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: Dan Foliart | Statement: [The War at Home, composer, Dan Foliart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Foliart Context triple: [The War at Home, composer, Dan Foliart]
-
A.
Dan Foliart
chosen
Dan Foliart is an American television composer known for scoring numerous popular TV series, including the sitcom "Happy Endings."
-
B.
Keith Follesé
Keith Follesé is an American country music songwriter known for penning numerous hits for major Nashville artists.
-
C.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
D.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
-
E.
David Fursdon
David Fursdon is a British public servant and landowner who serves as the ceremonial representative of the Crown in the county of Devon.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde170d4a0819087caeacf39f95954 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.