Triple
T2142911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coco |
E46999
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Matthew Aldrich |
E314016
|
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: Matthew Aldrich | Statement: [Coco, storyBy, Matthew Aldrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Aldrich Context triple: [Coco, storyBy, Matthew Aldrich]
-
A.
Matthew Aldrich
chosen
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Matthew Robbins
Matthew Robbins is an American screenwriter and filmmaker known for his work on genre films such as Crimson Peak, Dragonslayer, and collaborations with directors like Guillermo del Toro.
-
C.
Matthew Holworthy
Matthew Holworthy was a 17th-century English merchant and philanthropist best known for endowing the Holworthy Professorship of English Law at the University of Cambridge.
-
D.
Matthew Elliott
Matthew Elliott is a British political strategist and campaigner best known for leading the pro-Brexit Vote Leave campaign.
-
E.
Christian Ross
Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe206db0819095772af5358dca55 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12de0989481909ce71f3fb739ac2a |
completed | March 11, 2026, 8:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.