Triple
T5527718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fellowship of the Frog |
E144962
|
entity |
| Predicate | hasFictionalAntagonist |
P32100
|
FINISHED |
| Object | The Frog |
E533276
|
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: The Frog | Statement: [The Fellowship of the Frog, hasFictionalAntagonist, The Frog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Frog Context triple: [The Fellowship of the Frog, hasFictionalAntagonist, The Frog]
-
A.
The Frog
chosen
The Frog is a fictional criminal organization that serves as the central antagonist group in Edgar Wallace’s crime novel "The Fellowship of the Frog."
-
B.
Frog
Frog is the internal codename used by Apple for the Macintosh SE personal computer during its development.
-
C.
Grenouilles
Grenouilles is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, France, known for producing high-quality Chardonnay wines.
-
D.
Frogfoot
Frogfoot is the NATO reporting name for the Sukhoi Su-25, a Soviet-designed, heavily armored subsonic jet aircraft built for close air support of ground forces.
-
E.
The Snail
The Snail is a late-career cut-out collage by Henri Matisse that arranges bold, colorful paper shapes into a semi-abstract spiral composition.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8a34a48190bcbd0036f79246a9 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059db45188190b2d1ae2e2b900f91 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:34 p.m.