Triple
T22052028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Is a Family |
E544907
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Vendôme Production |
—
|
NE NERFINISHED |
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: Vendôme Production | Statement: [Two Is a Family, productionCompany, Vendôme Production]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendôme Production Context triple: [Two Is a Family, productionCompany, Vendôme Production]
-
A.
Vendôme Production
chosen
Vendôme Production is a French film production company known for backing popular and commercially successful movies.
-
B.
Vendôme Pictures
Vendôme Pictures is a film production company known for producing acclaimed independent and international movies, including the Oscar-winning drama "CODA."
-
C.
Dijon Productions
Dijon Productions was a mid-20th-century American film production company best known for producing the 1958 crime drama "Thunder Road."
-
D.
Versailles-Chantiers
Versailles-Chantiers is a major railway station in Versailles, France, serving as an important suburban and regional transport hub in the Paris metropolitan area.
-
E.
Valfabbrica
Valfabbrica is a small Italian municipality in the Umbria region, known for its medieval historic center and location along the ancient pilgrimage route to Assisi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.