Triple
T20664621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land Before Time |
E507851
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Cera |
—
|
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: Cera | Statement: [The Land Before Time, mainCharacter, Cera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cera Context triple: [The Land Before Time, mainCharacter, Cera]
-
A.
Cera
Cera is the surname of Canadian actor Michael Cera, known for his roles in films like "Superbad" and the series "Arrested Development."
-
B.
Cera
chosen
Cera is a young, strong-willed triceratops who serves as one of the main dinosaur characters in the animated film series "The Land Before Time."
-
C.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
D.
Arvella
Arvella is a feminine given name, notably borne by Arvella Schuller, an American church leader and co-founder of the Crystal Cathedral Ministries.
-
E.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
- 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.