Triple
T13508940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Meets Boy |
E321085
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Imogen |
E756236
|
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: Imogen | Statement: [Girl Meets Boy, featuresCharacter, Imogen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imogen Context triple: [Girl Meets Boy, featuresCharacter, Imogen]
-
A.
Imogen
Imogen is the given name of English singer, songwriter, and producer Imogen Heap, known for her innovative electronic and experimental pop music.
-
B.
Imogen
chosen
Imogen is the virtuous and resilient heroine of Shakespeare’s play "Cymbeline," renowned for her loyalty, courage, and emotional depth.
-
C.
Aemilia Clara
Aemilia Clara was a Roman noblewoman of the 2nd century AD, known primarily as the daughter of the short-reigned emperor Didius Julianus.
-
D.
Aemilia
Aemilia was a prominent Dutch warship that served as the flagship of the Dutch fleet during the Battle of the Downs in 1639.
-
E.
Aemilia
Aemilia was a Roman province in northern Italy, centered around the Via Aemilia and including cities such as Placentia (Piacenza).
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7548e51b881909a3384812556bc3d |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.