Triple
T15811288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everwood |
E383358
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Harold Abbott |
E1180693
|
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: Harold Abbott | Statement: [Everwood, hasCharacter, Harold Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold Abbott Context triple: [Everwood, hasCharacter, Harold Abbott]
-
A.
Harold Abbott
chosen
Harold Abbott is a central character in the television drama "Everwood," known as the town’s conservative, often stubborn doctor who frequently clashes with protagonist Andy Brown.
-
B.
Harold Adamson
Harold Adamson was an American lyricist best known for his work on popular film songs and standards during Hollywood’s Golden Age.
-
C.
Harold McCusker
Harold McCusker was a Northern Irish unionist politician who served as a Member of Parliament and was known for his hardline unionist stance during the Troubles.
-
D.
Harold Harwood
Harold Harwood was an English screenwriter and playwright best known for his work on film and television in the mid-20th century.
-
E.
Philip Abbott
Philip Abbott was an American character actor best known for his extensive work in film and television from the 1950s through the 1980s.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52bbb888190b226567e84ced7e9 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa939b4608190ac411b2f2f61e19e |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.