Triple
T10846900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4*Town |
E256034
|
entity |
| Predicate | fandomWithinStory |
P91297
|
FINISHED |
| Object | Meilin Lee and her friends |
—
|
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: Meilin Lee and her friends | Statement: [4*Town, fandomWithinStory, Meilin Lee and her friends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fandomWithinStory Context triple: [4*Town, fandomWithinStory, Meilin Lee and her friends]
-
A.
hasFandomWithinStory
chosen
Indicates that within the narrative of a story, one entity is a fan or admirer of another entity (such as a character, group, or work) that exists inside that same story world.
-
B.
fandomFocus
Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects of another entity.
-
C.
fandomContext
Indicates that the relationship or action occurs specifically within the context of a particular fandom or fan community.
-
D.
fandomScope
Indicates the extent or boundaries of a fandom-related relationship, such as how broadly or narrowly a fan’s interest, participation, or recognition applies.
-
E.
fandomActivity
Indicates participation in or engagement with fan-related activities centered around a particular work, person, or franchise.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75113bc188190ac78df0c51d95de6 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.