Triple
T5702932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corvette Summer |
E125713
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Matthew Robbins |
E214916
|
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 Robbins | Statement: [Corvette Summer, writer, Matthew Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Robbins Context triple: [Corvette Summer, writer, Matthew Robbins]
-
A.
Matthew Robbins
chosen
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.
-
B.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
Christian Ross
Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
-
D.
Matthew Arkin
Matthew Arkin is an American actor and acting teacher, known for his work in film, television, and theater and as part of the Arkin family of performers.
-
E.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02456efb48190bf3aaabcc77cda92 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107cae1648190a4b3b4de602b5177 |
completed | March 23, 2026, 9:28 a.m. |
Created at: March 22, 2026, 3:45 p.m.