Triple
T18417570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Fidel |
E441933
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Orson Fortune |
—
|
NE NERFINISHED |
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: Orson Fortune | Statement: [Sarah Fidel, worksWith, Orson Fortune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orson Fortune Context triple: [Sarah Fidel, worksWith, Orson Fortune]
-
A.
Orson Fortune
chosen
Orson Fortune is a highly skilled, unorthodox private spy and elite operative who leads dangerous covert missions in the action-comedy film "Operation Fortune: Ruse de Guerre."
-
B.
Christian Van Dyke
Christian Van Dyke is one of the children of legendary American actor and entertainer Dick Van Dyke.
-
C.
Oliver Norton
Oliver Norton is a relatively obscure individual whose primary notability appears to stem from sharing the Norton surname rather than from widely recognized independent achievements.
-
D.
Samuel Dracott
Samuel Dracott is an individual whose name appears in records with the variant spelling "Samuel Dracutt."
-
E.
William Freake
William Freake was a prominent 19th-century British property developer and builder known for creating large parts of South Kensington and other affluent areas of London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a291f148190b289b5b617077797 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.