Triple
T13147776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glorious 39 |
E312383
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Juno Temple |
E389721
|
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: Juno Temple | Statement: [Glorious 39, stars, Juno Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juno Temple Context triple: [Glorious 39, stars, Juno Temple]
-
A.
Juno Temple
chosen
Juno Temple is an English actress known for her eclectic film roles and acclaimed performance as Keeley Jones in the television series "Ted Lasso."
-
B.
Haley Bennett
Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
-
C.
Cristin Milioti
Cristin Milioti is an American actress and singer known for her work in film, television, and theater, including roles in "How I Met Your Mother," "The Wolf of Wall Street," and "Palm Springs."
-
D.
Emily Patterson
Emily Patterson is the daughter of American actress Téa Leoni.
-
E.
Annalise Basso
Annalise Basso is an American actress known for her roles in independent films and television, including her performance in the critically acclaimed drama "Captain Fantastic."
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b98a7c48190a2ca0ec7b9bd8d19 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 9:10 p.m.