Triple
T1935283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FaceTime |
E41429
|
entity |
| Predicate | audioOnlyFeatureIntroduced |
P33692
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [FaceTime, audioOnlyFeatureIntroduced, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioOnlyFeatureIntroduced Context triple: [FaceTime, audioOnlyFeatureIntroduced, 2013]
-
A.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
B.
hasBroadcastFeature
Indicates that an entity includes or supports a broadcast-related capability or functionality.
-
C.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
D.
usesEchoCancellation
Indicates that an entity employs echo cancellation techniques to reduce or eliminate echo in audio communication.
-
E.
hasSpeech
Indicates that an entity produces, delivers, or is associated with a spoken utterance or verbal expression.
- F. None of above. chosen
Provenance (4 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb29c7be08190986df157bf5d7c9e |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb25ef0ec8190b907963e9db0fe04 |
completed | March 7, 2026, 5:06 a.m. |
Created at: March 4, 2026, 7:35 p.m.