Triple
T20664622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land Before Time |
E507851
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ducky |
—
|
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: Ducky | Statement: [The Land Before Time, mainCharacter, Ducky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ducky Context triple: [The Land Before Time, mainCharacter, Ducky]
-
A.
Ducky
Ducky is a comedic plush duck character from the Toy Story franchise, known for his fast-talking, wisecracking personality alongside his friend Bunny.
-
B.
Ducky
chosen
Ducky is a cheerful, kind-hearted young Saurolophus (often called a "duck-bill" dinosaur) and one of the main child characters in the animated film series The Land Before Time.
-
C.
the Duck
The Duck is a waddling, quacking bird character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the oboe in the orchestral score.
-
D.
Guard Duck
Guard Duck is a recurring comic character known for his overzealous, militaristic approach to security and deadpan humor.
-
E.
The Duck
The Duck is the costumed duck mascot that represents the University of Oregon’s athletic teams, including the softball program.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f541bc8190ac7946b91647f2b0 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.