Triple
T17340443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Soft Skin |
E421051
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Cocinor |
E824837
|
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: Cocinor | Statement: [The Soft Skin, distributor, Cocinor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cocinor Context triple: [The Soft Skin, distributor, Cocinor]
-
A.
Cocinor
chosen
Cocinor was a French film distribution and production company active in the mid-20th century, known for handling significant works of the French New Wave.
-
B.
Cuoco
Cuoco is an Italian surname most prominently associated with American actress Kaley Cuoco, known for her role in the television series "The Big Bang Theory."
-
C.
The Chef
The Chef is the stage name of Raekwon, a prominent American rapper and member of the Wu-Tang Clan known for his vivid, street-oriented storytelling.
-
D.
Dorio
Dorio is a small municipality in the Lombardy region of northern Italy, situated on the eastern shore of Lake Como.
-
E.
Carnaza
Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c588a7081909ab108cb4adfedfe |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:44 a.m.