Triple
T20664571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land Before Time |
E507850
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Cera
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."
|
E1443806
|
NE FINISHED |
How this triple was built (4 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, featuresCharacter, Cera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cera Context triple: [The Land Before Time, featuresCharacter, 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.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
C.
Arvella
Arvella is a feminine given name, notably borne by Arvella Schuller, an American church leader and co-founder of the Crystal Cathedral Ministries.
-
D.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
E.
Marzelline
Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cera Triple: [The Land Before Time, featuresCharacter, Cera]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cera Target entity description: 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."
-
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.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
C.
Arvella
Arvella is a feminine given name, notably borne by Arvella Schuller, an American church leader and co-founder of the Crystal Cathedral Ministries.
-
D.
Caron
Caron is a French surname most famously associated with actress and dancer Leslie Caron, known for her roles in classic Hollywood musicals.
-
E.
Marzelline
Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5d0da481909eebd69b8b314503 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.