Triple
T17062281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis (given name) |
E413989
|
entity |
| Predicate | hasNotableBearerGivenName |
P110784
|
FINISHED |
| Object |
Davis Mell
Davis Mell was a 17th-century English court musician and noted violinist who served under King Charles I.
|
E1247677
|
NE FINISHED |
How this triple was built (4 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: Davis Mell | Statement: [Davis (given name), hasNotableBearerGivenName, Davis Mell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davis Mell Context triple: [Davis (given name), hasNotableBearerGivenName, Davis Mell]
-
A.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
B.
Kevin Davis
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
-
C.
David McLeod
David McLeod was a British colonial official after whom the hill station of McLeod Ganj in Himachal Pradesh, India, is named.
-
D.
David Dawson
David Dawson is a British actor known for his work in television, film, and theatre, including a prominent role in the romantic drama film "My Policeman."
-
E.
David Daniel
David Daniel is a cinematographer best known for his work on the dance film "You Got Served."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Davis Mell Triple: [Davis (given name), hasNotableBearerGivenName, Davis Mell]
Generated description
Davis Mell was a 17th-century English court musician and noted violinist who served under King Charles I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Davis Mell Target entity description: Davis Mell was a 17th-century English court musician and noted violinist who served under King Charles I.
-
A.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
-
B.
Kevin Davis
Kevin Davis is a Canadian municipal politician who serves as the mayor of Brantford, Ontario.
-
C.
David McLeod
David McLeod was a British colonial official after whom the hill station of McLeod Ganj in Himachal Pradesh, India, is named.
-
D.
David Dawson
David Dawson is a British actor known for his work in television, film, and theatre, including a prominent role in the romantic drama film "My Policeman."
-
E.
David Daniel
David Daniel is a cinematographer best known for his work on the dance film "You Got Served."
- F. None of above. chosen
Provenance (5 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7eb0808190ae1b0044e2b5cbd7 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234be4e4819084701902e7bd3a27 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a0124869c2c8190b84ed4d46492528a |
completed | May 11, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0124f59490819081e8dc644da92ed6 |
completed | May 11, 2026, 12:38 a.m. |
Created at: April 10, 2026, 5:34 a.m.