Triple
T20124582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finian |
E490713
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Finn |
—
|
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: Finn | Statement: [Finian, hasDiminutiveForm, Finn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finn Context triple: [Finian, hasDiminutiveForm, Finn]
-
A.
Finn
Finn is a central character in the Star Wars sequel trilogy, a former stormtrooper who defects from the First Order and joins the Resistance.
-
B.
Finn
chosen
Finn is a masculine given name of Old Norse and Irish origin, commonly used in Scandinavian and English-speaking countries.
-
C.
Finn
Finn is a skilled member of Tobey Marshall's street-racing crew in the film "Need for Speed," known for his technical expertise and loyal support.
-
D.
Finn Little
Finn Little is an Australian actor known for his roles in film and television, including a prominent part in the neo-Western drama series "Yellowstone."
-
E.
Finn McMissile
Finn McMissile is a suave British spy car from Pixar's Cars franchise, known for his gadget-filled design and key role in Cars 2.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667412b888190b43f7dd1ccdbad01 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.