Triple
T12009459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn |
E285868
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Alexander Rose |
E285860
|
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: Alexander Rose | Statement: [Turn, basedOnAuthor, Alexander Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Rose Context triple: [Turn, basedOnAuthor, Alexander Rose]
-
A.
Alexander Rose
chosen
Alexander Rose is a historian and author best known for his book "Washington's Spies," which inspired the television series "Turn: Washington's Spies."
-
B.
Marshall Rose
Marshall Rose is a wealthy New York real estate developer and philanthropist known for his work in high-end property and arts patronage.
-
C.
Alex Munday
Alex Munday is a stylish, tech-savvy private investigator and martial arts expert from the Charlie’s Angels film series.
-
D.
Alexander Dynan
Alexander Dynan is a cinematographer known for his atmospheric, character-driven visual work on films such as Paul Schrader’s "First Reformed."
-
E.
Martin Porlock
Martin Porlock is a pseudonym used by British crime and mystery novelist Philip MacDonald for some of his works.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d61a4c81909e6cb6500b61df94 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f642801881909a94d67c99bfd110 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:46 p.m.