Triple
T17070057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Yan (The Farewell) |
E414191
|
entity |
| Predicate | screenTimeRelativeToProtagonist |
P125737
|
FINISHED |
| Object | moderate |
—
|
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: moderate | Statement: [Henry Yan (The Farewell), screenTimeRelativeToProtagonist, moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenTimeRelativeToProtagonist Context triple: [Henry Yan (The Farewell), screenTimeRelativeToProtagonist, moderate]
-
A.
relativeOfMainCharacter
Indicates that one entity is a family member or relative of the main character entity.
-
B.
startTimeRelativeToGame
Indicates the time at which an event or action occurs, expressed relative to the start time of the game rather than as an absolute timestamp.
-
C.
relativePositionOnCourse
Indicates the positional relationship of one participant or object relative to another along a defined course or route.
-
D.
relativePositionInStadium
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
-
E.
locationRelativeToPitch
Indicates the spatial position of an entity in relation to the pitch (e.g., above, beside, or within the pitch area).
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.