Triple
T201198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Fleming |
E4507
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fleming |
E18669
|
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: Fleming | Statement: [Victor Fleming, familyName, Fleming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleming Context triple: [Victor Fleming, familyName, Fleming]
-
A.
Fleming
chosen
Fleming is a surname most famously associated with Ian Fleming, the British author who created the James Bond spy novels.
-
B.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
-
C.
Winston
Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
-
D.
Nourse
Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
-
E.
Maxwell
Maxwell is the given first name of Lord Beaverbrook, a prominent 20th-century British-Canadian newspaper magnate and politician.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be5a6d081909723b23a6361d6ea |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a32bc5d56c8190bbe922eee86bcc58 |
completed | Feb. 28, 2026, 5:54 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.