Triple
T984971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha Dog |
E21257
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Robert Fraisse |
E34846
|
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: Robert Fraisse | Statement: [Alpha Dog, cinematographyBy, Robert Fraisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Fraisse Context triple: [Alpha Dog, cinematographyBy, Robert Fraisse]
-
A.
Robert Fraisse
chosen
Robert Fraisse is a French cinematographer known for his visually striking work on international films, including major war dramas and action features.
-
B.
Philippe Erlanger
Philippe Erlanger was a French historian and cultural administrator best known for initiating and organizing the creation of the Cannes Film Festival.
-
C.
Frédéric Boissonnas
Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
-
D.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
-
E.
Victor Laloux
Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02f0424481909c533774f0169ca7 |
completed | March 8, 2026, 11:14 p.m. |
Created at: March 1, 2026, 7:41 p.m.