Triple
T12061283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxanne Kowalski |
E287175
|
entity |
| Predicate | firstAppearance |
P795
|
FINISHED |
| Object | Roxanne (1987 film) |
E62977
|
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: Roxanne (1987 film) | Statement: [Roxanne Kowalski, firstAppearance, Roxanne (1987 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxanne (1987 film) Context triple: [Roxanne Kowalski, firstAppearance, Roxanne (1987 film)]
-
A.
Roxanne
chosen
Roxanne is a 1987 romantic comedy film starring Steve Martin, loosely based on the play Cyrano de Bergerac.
-
B.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
-
C.
Enemy Mine
Enemy Mine is a 1985 science fiction film about a human and an alien soldier who must overcome their mutual hatred and learn to cooperate after being stranded together on a hostile planet.
-
D.
Lalla Rookh
Lalla Rookh is an 1817 Oriental romance poem by Irish writer Thomas Moore, famed for its exotic setting and interwoven tales of love and politics.
-
E.
Xanadu
Xanadu is the opulent, mythical pleasure-dome city evoked in Samuel Taylor Coleridge’s poem "Kubla Khan."
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043f82248190b05692aa0dc178a8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6532a048190b53f96c9df948dda |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.