Triple
T16058167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Chang |
E389535
|
entity |
| Predicate | fandom |
P8696
|
FINISHED |
| Object | Harry Potter fandom |
E614174
|
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: Harry Potter fandom | Statement: [Cho Chang, fandom, Harry Potter fandom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Potter fandom Context triple: [Cho Chang, fandom, Harry Potter fandom]
-
A.
Harry Potter fandom
chosen
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.
-
B.
Potter
Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
-
C.
Potter
Potter is a small town located in Yates County in the Finger Lakes region of New York State.
-
D.
Potter
Potter is the surname of Beatrix Potter, the renowned English writer, illustrator, and natural scientist best known for her children's books featuring animal characters such as Peter Rabbit.
-
E.
Fandom
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.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837634248190a99cc454ad1e99e0 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.