Triple
T4457317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dino De Laurentiis Corporation |
E97759
|
entity |
| Predicate | producedForMarket |
P56637
|
FINISHED |
| Object | international film market |
—
|
LITERAL 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: international film market | Statement: [Dino De Laurentiis Corporation, producedForMarket, international film market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedForMarket Context triple: [Dino De Laurentiis Corporation, producedForMarket, international film market]
-
A.
marketedFor
Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
-
B.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
C.
marketedFrom
Indicates that a product, service, or offering began to be marketed starting from a specified time or date.
-
D.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
-
E.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
- F. None of above. chosen
Provenance (4 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356434e9481908f883c09e0908f6b |
completed | March 13, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.