Triple
T11235880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawn Dogs |
E265939
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Humphrey Dixon |
E395690
|
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: Humphrey Dixon | Statement: [Lawn Dogs, editor, Humphrey Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humphrey Dixon Context triple: [Lawn Dogs, editor, Humphrey Dixon]
-
A.
Humphrey Dixon
chosen
Humphrey Dixon is a British film editor known for his work on the acclaimed period drama "A Room with a View" (1985) and other notable films.
-
B.
John Hampson
John Hampson was the husband of renowned German actress Therese Giehse.
-
C.
Louis Hobson
Louis Hobson is an American musical theatre actor best known for his work on Broadway, including originating a role in the acclaimed rock musical "Next to Normal."
-
D.
George Dickerson
George Dickerson was an American actor and writer best known for his supporting roles in films of the 1980s and 1990s, as well as for his work in television and theater.
-
E.
Cecil Hartnett
Cecil Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific public details about his life or achievements are not widely documented.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28053fe08819099e848cd74b989a0 |
completed | April 29, 2026, 10:04 p.m. |
Created at: April 8, 2026, 9:30 p.m.