Triple
T11907787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinosaur (2000 film) |
E283314
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Plio
Plio is a compassionate iguanodon who serves as the adoptive mother of the protagonist Aladar in Disney's 2000 animated film "Dinosaur."
|
E953968
|
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: Plio | Statement: [Dinosaur (2000 film), mainCharacter, Plio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plio Context triple: [Dinosaur (2000 film), mainCharacter, Plio]
-
A.
Pleuron
Pleuron was an ancient city in Aetolia, Greece, known from Greek mythology as the homeland of several legendary figures and a center of early Aetolian culture.
-
B.
Pias
Pias is a civil parish located in the municipality of Serpa in Portugal’s Alentejo region.
-
C.
Palaia
Palaia is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, scenic countryside, and traditional rural culture.
-
D.
Dryas
Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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: Plio Triple: [Dinosaur (2000 film), mainCharacter, Plio]
Generated description
Plio is a compassionate iguanodon who serves as the adoptive mother of the protagonist Aladar in Disney's 2000 animated film "Dinosaur."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plio Target entity description: Plio is a compassionate iguanodon who serves as the adoptive mother of the protagonist Aladar in Disney's 2000 animated film "Dinosaur."
-
A.
Pleuron
Pleuron was an ancient city in Aetolia, Greece, known from Greek mythology as the homeland of several legendary figures and a center of early Aetolian culture.
-
B.
Pias
Pias is a civil parish located in the municipality of Serpa in Portugal’s Alentejo region.
-
C.
Palaia
Palaia is a historic hilltop town in Tuscany, central Italy, known for its medieval architecture, scenic countryside, and traditional rural culture.
-
D.
Dryas
Dryas is a figure in Greek mythology known as one of the heroes who joined the legendary Calydonian Boar Hunt.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418543258819083b49a5bbdc520cd |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1d2da0819082f00cf61a6530b6 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4228a73708190a6d2db321e175921 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.