Triple
T13418938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percy Jackson: Sea of Monsters |
E313287
|
entity |
| Predicate | basedOnWorkAuthor |
P2806
|
FINISHED |
| Object | Rick Riordan |
E715845
|
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: Rick Riordan | Statement: [Percy Jackson: Sea of Monsters, basedOnWorkAuthor, Rick Riordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Riordan Context triple: [Percy Jackson: Sea of Monsters, basedOnWorkAuthor, Rick Riordan]
-
A.
Rick Riordan
chosen
Rick Riordan is an American author best known for his Percy Jackson & the Olympians fantasy series inspired by Greek mythology.
-
B.
Eoin Colfer
Eoin Colfer is an Irish author best known for creating the popular Artemis Fowl series of children's fantasy novels.
-
C.
Jonathan Rollins
Jonathan Rollins is a high-powered, ambitious attorney on the television series "L.A. Law," known for his sharp legal skills and complex personal relationships.
-
D.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
E.
Grant Thompson
Grant Thompson is a screenwriter best known for his work on the inspirational sports drama film "McFarland, USA."
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.