Triple
T3062217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TED conferences |
E62020
|
entity |
| Predicate | typicalTalkLength |
P18065
|
FINISHED |
| Object | 18 minutes or less |
—
|
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: 18 minutes or less | Statement: [TED conferences, typicalTalkLength, 18 minutes or less]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTalkLength Context triple: [TED conferences, typicalTalkLength, 18 minutes or less]
-
A.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
B.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
C.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
-
D.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
E.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9f33d88190bd481cb7f18ceb91 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.