Triple
T12844125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Beesley |
E307127
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fandom |
E63376
|
NE 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: Fandom | Statement: [Angela Beesley, notableWork, Fandom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fandom Context triple: [Angela Beesley, notableWork, Fandom]
-
A.
Fandom
chosen
Fandom is a fan-focused entertainment and gaming platform best known for hosting community-created wikis and content about movies, TV, games, and pop culture.
-
B.
Harry Potter fandom
The Harry Potter fandom is a vast, global community of readers and viewers devoted to J.K. Rowling’s Wizarding World, known for its fan fiction, conventions, online communities, and enduring enthusiasm for the book and film series.
-
C.
Twilight fandom
The Twilight fandom is a passionate global community of fans devoted to Stephenie Meyer’s Twilight universe, known for its intense enthusiasm, online fan culture, and influence on modern YA and paranormal romance fandoms.
-
D.
FanCode
FanCode is an Indian digital sports platform offering live streaming, scores, and content for a wide range of sports and leagues.
-
E.
FAN
FAN is the French acronym for Niger's national military, responsible for the country's defense and security operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54838888190804202e45a55de48 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:36 p.m.