Triple
T12996558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amber Tamblyn |
E322048
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object | Joan of Arcadia |
E1016360
|
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: Joan of Arcadia | Statement: [Amber Tamblyn, awardReceivedFor, Joan of Arcadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan of Arcadia Context triple: [Amber Tamblyn, awardReceivedFor, Joan of Arcadia]
-
A.
Joan of Arcadia
chosen
Joan of Arcadia is an early-2000s American television drama series about a teenage girl who regularly encounters God in various human forms and is given tasks that affect the lives of those around her.
-
B.
Rain Joan of Arc Phoenix
Rain Joan of Arc Phoenix is an American actress and musician, known for her work in independent films and as the sister of actors River and Joaquin Phoenix.
-
C.
Jeanne
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
-
D.
Angeline
Angeline is the given name of American actress Angie Dickinson, known for her roles in film and television from the 1950s onward.
-
E.
Felicity
Felicity is an American television drama series that follows a young woman's personal and academic journey through college life in New York City.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f4bedc81909b8dfa79a842e12d |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:45 p.m.