Triple
T11835739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Fountain |
E281510
|
entity |
| Predicate | donor |
P499
|
FINISHED |
| Object | Daniel Ross |
E729243
|
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: Daniel Ross | Statement: [Ross Fountain, donor, Daniel Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Ross Context triple: [Ross Fountain, donor, Daniel Ross]
-
A.
Daniel Ross
chosen
Daniel Ross is the son of John Ross, likely known primarily in relation to his father.
-
B.
Daniel Ross
Daniel Ross is an American voice actor best known for portraying iconic animated characters, including voicing Donald Duck in various Disney productions.
-
C.
Ted Ross
Ted Ross was an American actor best known for his Tony- and Oscar-winning portrayal of the Cowardly Lion in the stage and film versions of "The Wiz."
-
D.
Ian Dunn
Ian Dunn is a British actor known for his work in television, film, and theatre, and for being married to the late actress Emma Chambers.
-
E.
Paul Ross
Paul Ross is a British television and radio presenter known for his work on various UK talk and game shows and for being the brother of broadcaster Jonathan Ross.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43fb078148190bdd7f36c6b292670 |
completed | May 1, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:43 p.m.