Triple
T13881058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rains Came |
E333715
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Royer |
E333715
|
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: Royer | Statement: [The Rains Came, costumeDesigner, Royer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royer Context triple: [The Rains Came, costumeDesigner, Royer]
-
A.
Royer
chosen
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
B.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
-
C.
Rohrer
Rohrer is a surname most notably associated with Swiss physicist Heinrich Rohrer, co-inventor of the scanning tunneling microscope and Nobel Prize laureate.
-
D.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
E.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be8566881908b8902e3cd567669 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c711f9b08190aa5981320597e83b |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.