Triple
T1528834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryl Dixon |
E32394
|
entity |
| Predicate | fandomStatus |
P27257
|
FINISHED |
| Object | fan-favorite character |
—
|
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: fan-favorite character | Statement: [Daryl Dixon, fandomStatus, fan-favorite character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fandomStatus Context triple: [Daryl Dixon, fandomStatus, fan-favorite character]
-
A.
fandomFocus
Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects of another entity.
-
B.
fandomCulture
Indicates a relationship where one entity is associated with, shaped by, or participates in the shared practices, norms, and creative activities of a particular fan community.
-
C.
fanCultureElement
Indicates a relationship where something is a notable practice, artifact, or tradition that characterizes or expresses a particular fan culture.
-
D.
fameStatus
chosen
Indicates the level or state of public recognition or renown associated with an entity.
-
E.
fandomNickname
Indicates that one entity is the nickname used by fans to refer to another entity (such as a person, group, or work).
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.