Triple
T3435525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romana |
E72441
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object |
David Fisher
David Fisher was a British television writer best known for his work on the science fiction series Doctor Who.
|
E357158
|
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: David Fisher | Statement: [Romana, createdBy, David Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Fisher Context triple: [Romana, createdBy, David Fisher]
-
A.
Jonathan Fisk
Jonathan Fisk was an early 19th-century American politician who served as a U.S. Representative from New York.
-
B.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
-
C.
Todd Fisher
Todd Fisher is an American producer, director, cinematographer, and the son of entertainers Debbie Reynolds and Eddie Fisher.
-
D.
Rich Moore
Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
-
E.
Michael Neeleman
Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
- 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: David Fisher Triple: [Romana, createdBy, David Fisher]
Generated description
David Fisher was a British television writer best known for his work on the science fiction series Doctor Who.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Fisher Target entity description: David Fisher was a British television writer best known for his work on the science fiction series Doctor Who.
-
A.
Jonathan Fisk
Jonathan Fisk was an early 19th-century American politician who served as a U.S. Representative from New York.
-
B.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
-
C.
Todd Fisher
Todd Fisher is an American producer, director, cinematographer, and the son of entertainers Debbie Reynolds and Eddie Fisher.
-
D.
Rich Moore
Rich Moore is an American animation director and filmmaker best known for his work on acclaimed Disney films such as "Zootopia" and "Wreck-It Ralph."
-
E.
Michael Neeleman
Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f2e4b4819085336fb539daf3c7 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35481a03c81908fd69da55d81aca3 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b355a7dc308190ba8ab0db251592a2 |
completed | March 13, 2026, 12:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3567042ac8190aacf4e30da1aa816 |
completed | March 13, 2026, 12:12 a.m. |
Created at: March 8, 2026, 3:16 p.m.