Triple
T15625109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Dinosaur |
E375658
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Arlo |
E1167753
|
NE FINISHED |
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: Arlo | Statement: [The Good Dinosaur, character, Arlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlo Context triple: [The Good Dinosaur, character, Arlo]
-
A.
Arlo
chosen
Arlo is a young, timid Apatosaurus who embarks on a transformative journey of courage and friendship in Pixar's animated film "The Good Dinosaur."
-
B.
Alby
Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
-
C.
Alby
Alby is a small village located on the island of Öland in southeastern Sweden, known for its rural landscape and coastal surroundings within Mörbylånga Municipality.
-
D.
Arlo Bates
Arlo Bates was an American author, editor, and educator known for his novels, literary criticism, and long tenure as a professor of English at the Massachusetts Institute of Technology.
-
E.
Coby
Coby is a given name commonly used as a diminutive or nickname, particularly for names like Jacoba or Jacob.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678c9d8c8190be73b6e7ed558e99 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.