Triple
T379709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca |
E8651
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object | Casablanca |
E14012
|
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: Casablanca | Statement: [Casablanca, settingLocation, Casablanca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casablanca Context triple: [Casablanca, settingLocation, Casablanca]
-
A.
Casablanca
Casablanca is a classic 1942 American romantic drama film set during World War II, renowned for its iconic performances, memorable dialogue, and enduring status as one of Hollywood’s greatest movies.
-
B.
Casablanca
chosen
Casablanca is Morocco’s largest city and economic hub, located on the Atlantic coast of North Africa and known for its major port and modern urban character.
-
C.
The Band Wagon
The Band Wagon is a classic 1953 MGM musical film starring Fred Astaire, celebrated for its sophisticated song-and-dance numbers and backstage showbiz storyline.
-
D.
On the Town
On the Town is a 1944 Broadway musical with music by Leonard Bernstein that follows three sailors on 24-hour shore leave in New York City, later adapted into a popular 1949 film.
-
E.
Le Havre
Le Havre is a major French port city in Normandy, known as one of the country’s principal maritime and commercial gateways.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2b07248190979229bad3a741c9 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fafe091881908fdf8ddbb6b8a7e6 |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.