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.