Triple
T35263448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smile Again |
E1018433
|
entity |
| Predicate | performerSex |
P20803
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [Smile Again, performerSex, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerSex Context triple: [Smile Again, performerSex, male]
-
A.
hasPerformerGender
chosen
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
-
B.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
C.
performerDemographic
Indicates the demographic characteristics (such as age, gender, ethnicity, or other group attributes) of the performer involved in an action or event.
-
D.
playableGender
Indicates that a particular gender is available as a selectable option for a player character.
-
E.
creatorSexOrGender
Indicates that the specified sex or gender is the sex or gender of the creator of the referenced work or entity.
- 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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:02 p.m.