Triple
T8431171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARRAY Releasing |
E199116
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | ARRAY |
E199115
|
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: ARRAY | Statement: [ARRAY Releasing, parentOrganization, ARRAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARRAY Context triple: [ARRAY Releasing, parentOrganization, ARRAY]
-
A.
ARRAY
chosen
ARRAY is a film distribution and resource collective dedicated to amplifying the work of women and people of color in the independent film industry.
-
B.
Array
Array is a fundamental Swift collection type that stores an ordered, indexable list of values of the same type.
-
C.
ArrayComm
ArrayComm is a wireless communications technology company known for pioneering smart antenna and adaptive beamforming solutions to improve mobile network capacity and performance.
-
D.
System.Array
System.Array is the fundamental base class in .NET for all arrays, providing common methods and properties for creating, manipulating, and accessing fixed-size collections of elements.
-
E.
Matrix
Matrix is a professional haircare and hair color brand widely used in salons and owned by the cosmetics company L'Oréal.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a4876c81908d5a708bb1f35683 |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0380ed948190bdba247d67769ade |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:07 p.m.