Triple
T7969467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatbox Ghost |
E185286
|
entity |
| Predicate | fanTheorySubject |
P80064
|
FINISHED |
| Object | backstory and identity |
—
|
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: backstory and identity | Statement: [Hatbox Ghost, fanTheorySubject, backstory and identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanTheorySubject Context triple: [Hatbox Ghost, fanTheorySubject, backstory and identity]
-
A.
fanCultureElement
Indicates a relationship where something is a notable practice, artifact, or tradition that characterizes or expresses a particular fan culture.
-
B.
fandomType
Indicates the specific category or kind of fandom relationship that exists between an entity and the subject of that fandom.
-
C.
fandomContext
Indicates that the relationship or action occurs specifically within the context of a particular fandom or fan community.
-
D.
fandomFocus
Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects of another entity.
-
E.
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.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd1c9a081909759e5bf5237204e |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:13 p.m.