Triple
T32106035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nine Lives of Chloe King |
E819982
|
entity |
| Predicate | raceFeatured |
P173568
|
FINISHED |
| Object | Mai |
—
|
NE NERFINISHED |
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: Mai | Statement: [The Nine Lives of Chloe King, raceFeatured, Mai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceFeatured Context triple: [The Nine Lives of Chloe King, raceFeatured, Mai]
-
A.
featuresRaceBetween
Indicates that an event or context includes or showcases a competitive race occurring between participants.
-
B.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
-
C.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
D.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
E.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b69c10b481909540be1db9b986f5 |
completed | May 3, 2026, 2:44 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:27 a.m.