Triple
T38517514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media Composer | First |
E922378
|
entity |
| Predicate | featureLimitation |
P99
|
FINISHED |
| Object | reduced number of video tracks |
—
|
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: reduced number of video tracks | Statement: [Media Composer | First, featureLimitation, reduced number of video tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureLimitation Context triple: [Media Composer | First, featureLimitation, reduced number of video tracks]
-
A.
hasLimitation
chosen
Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
-
B.
showsLimitationOf
Indicates that one entity reveals, demonstrates, or makes apparent the limitations, weaknesses, or constraints of another entity.
-
C.
developmentRestrictions
Indicates constraints or limitations imposed on how something may be developed, expanded, or built.
-
D.
reasonForPerformanceLimitation
Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
-
E.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
- F. None of above.
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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.