Triple
T23101224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Hands |
E576034
|
entity |
| Predicate | typicalPlayingTime |
P146303
|
FINISHED |
| Object | short |
—
|
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: short | Statement: [Two Hands, typicalPlayingTime, short]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlayingTime Context triple: [Two Hands, typicalPlayingTime, short]
-
A.
typicalPlayTime
chosen
Indicates the usual or average amount of time an entity is expected to be played or used in a play session.
-
B.
typicalPlayTimeMinutes
Indicates the usual or average number of minutes an activity, game, or media item is typically played or experienced.
-
C.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
-
D.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
E.
playTime
Indicates the duration or specific time period during which an entity engages in playing or recreational activity with another entity or object.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de8c5b4819095cddf989cade60d |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:58 p.m.