Triple
T26988452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe Garcia-Frizzi |
E679794
|
entity |
| Predicate | fictionalUniverseParticipatedIn |
P3758
|
FINISHED |
| Object | The Walking Dead universe |
—
|
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: The Walking Dead universe | Statement: [Chloe Garcia-Frizzi, fictionalUniverseParticipatedIn, The Walking Dead universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalUniverseParticipatedIn Context triple: [Chloe Garcia-Frizzi, fictionalUniverseParticipatedIn, The Walking Dead universe]
-
A.
fictionalUniverse
chosen
Indicates that two entities exist within, or are associated with, the same fictional universe or narrative setting.
-
B.
fictionalUniverseEvent
Indicates an event or occurrence that takes place within a specific fictional universe or narrative continuity.
-
C.
hasFictionalUniverseElement
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
-
D.
fictionalUniverseRole
Indicates the role or function an entity has within a particular fictional universe or narrative setting.
-
E.
isSetInFictionalUniverse
Indicates that a narrative work takes place within a specific fictional universe or setting.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 6:50 a.m.