Triple
T20573685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Max (2015 video game) |
E505159
|
entity |
| Predicate | approximatePlaytime |
P17474
|
FINISHED |
| Object | dozens of hours for main and side content |
—
|
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: dozens of hours for main and side content | Statement: [Mad Max (2015 video game), approximatePlaytime, dozens of hours for main and side content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximatePlaytime Context triple: [Mad Max (2015 video game), approximatePlaytime, dozens of hours for main and side content]
-
A.
playTime
Indicates the duration or specific time period during which an entity engages in playing or recreational activity with another entity or object.
-
B.
runsApproximately
Indicates that an entity performs a running action in a manner that is close to, but not exactly matching, a specified time, distance, speed, or other running-related measure.
-
C.
approximateCourseLength
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
D.
timeToComplete
chosen
Indicates the duration required for an entity or process to be fully completed.
-
E.
typicalViewingTime
Indicates the usual or most common amount of time an entity is viewed or watched under normal circumstances.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9087af88190a4610ecb29f637ca |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.