Triple
T12378158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindarin (film depiction) |
E295676
|
entity |
| Predicate | audioRealization |
P3514
|
FINISHED |
| Object | spoken dialogue by actors |
—
|
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: spoken dialogue by actors | Statement: [Sindarin (film depiction), audioRealization, spoken dialogue by actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioRealization Context triple: [Sindarin (film depiction), audioRealization, spoken dialogue by actors]
-
A.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
-
B.
soundReproductionMethod
chosen
Indicates the method or technique used to reproduce or play back sound.
-
C.
audioProcessing
Indicates that one entity performs operations to analyze, modify, or transform audio data associated with another entity.
-
D.
audioModulation
Indicates a relationship where one audio signal or parameter is used to vary or control another audio signal’s characteristics (such as amplitude, frequency, or timbre) over time.
-
E.
audioStandard
Indicates the audio format or specification standard that applies to the associated media or device.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.