Triple
T37354147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cineflix Media |
E927406
|
entity |
| Predicate | hasProductionArm |
P205852
|
FINISHED |
| Object | Cineflix Productions |
E927406
|
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: Cineflix Productions | Statement: [Cineflix Media, hasProductionArm, Cineflix Productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionArm Context triple: [Cineflix Media, hasProductionArm, Cineflix Productions]
-
A.
hasArm
Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
-
B.
hasArms
Indicates that an entity possesses arms as physical appendages.
-
C.
hasFilmArm
Indicates that an entity possesses or is equipped with a mechanical or structural arm used for holding, supporting, or manipulating film.
-
D.
hasArmWidth
Indicates that one entity has a specified measurement for the width of its arm.
-
E.
hasArmConfiguration
Indicates that an entity is associated with a specific arrangement or setup of its arms or arm-like components.
- F. None of above. chosen
Provenance (5 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4076f093f08190a92287385694632e |
completed | June 28, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.