Triple
T10366152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe (2017 film) |
E244255
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | STXinternational |
E717055
|
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: STXinternational | Statement: [Breathe (2017 film), distributor, STXinternational]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STXinternational Context triple: [Breathe (2017 film), distributor, STXinternational]
-
A.
STXinternational
chosen
STXinternational is a film distribution company known for handling the international release of various feature films.
-
B.
STX
STX is the stock ticker symbol for Seagate Technology, a major data storage company known for manufacturing hard disk drives and related storage solutions.
-
C.
STX
STX is the IATA airport code for Henry E. Rohlsen Airport serving St. Croix in the U.S. Virgin Islands.
-
D.
A.P. Møller – Mærsk
A.P. Møller – Mærsk is a Danish multinational conglomerate best known as one of the world’s largest container shipping and logistics companies.
-
E.
Mediterranean Shipping Company
Mediterranean Shipping Company is one of the world’s largest container shipping lines, operating a vast global fleet and network of maritime trade routes.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 6, 2026, noon