Triple
T9759684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Is Paris Burning? |
E236637
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Paris brûle-t-il ? |
E236637
|
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: Paris brûle-t-il ? | Statement: [Is Paris Burning?, originalTitle, Paris brûle-t-il ?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris brûle-t-il ? Context triple: [Is Paris Burning?, originalTitle, Paris brûle-t-il ?]
-
A.
Is Paris Burning?
chosen
"Is Paris Burning?" is a 1966 historical war film depicting the liberation of Paris during World War II, based on the book by Larry Collins and Dominique Lapierre.
-
B.
Paris 3
Paris 3 is a French public university in Paris, known for its focus on humanities, languages, arts, and social sciences as part of the Sorbonne university group.
-
C.
Paris en colère
"Paris en colère" is a famous French song performed by Mireille Mathieu, known for its emotional portrayal of Paris’s spirit and resilience.
-
D.
Paris Qualles
Paris Qualles is an American television and film screenwriter and producer known for his work on socially conscious dramas and biographical projects.
-
E.
Paris Bar
The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda049995c81908569ec61805642b2 |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcdbdbcc8190b2c454729a50f7fb |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:24 p.m.