Triple
T20190935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inklings |
E492975
|
entity |
| Predicate | homeSetting |
P55894
|
FINISHED |
| Object | Inkopolis |
—
|
NE NERFINISHED |
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: Inkopolis | Statement: [Inklings, homeSetting, Inkopolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inkopolis Context triple: [Inklings, homeSetting, Inkopolis]
-
A.
Inkopolis
chosen
Inkopolis is a vibrant, ink-splattered metropolis and central hub world in the Splatoon video game series, where Inklings and Octolings gather for battles, shopping, and social activities.
-
B.
The Inkwell
The Inkwell is a 1994 coming-of-age comedy-drama film set during a family summer vacation on Martha’s Vineyard, known for its exploration of Black middle-class life in the 1970s.
-
C.
Ink Boy
Ink Boy is a musical artist known for collaborating with Jamz.
-
D.
The Ink Factory
The Ink Factory is a British production company best known for adapting John le Carré’s works for film and television.
-
E.
Ink
Ink is a short-lived 1996 American sitcom starring Ted Danson and Mary Steenburgen as married newspaper journalists balancing their chaotic work and home lives.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad593f88190a1e534fed38b3cd7 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.