Triple
T1043440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Janney |
E22520
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Juno |
E83220
|
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 | Statement: [Allison Janney, notableWork, Juno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juno Context triple: [Allison Janney, notableWork, Juno]
-
A.
Juno
Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
-
B.
Juno
chosen
Juno is a 2007 coming-of-age comedy-drama film about a witty teenager dealing with an unplanned pregnancy, widely praised for its sharp dialogue and performances.
-
C.
Rhea
Rhea is a Titaness in Greek mythology, best known as the mother of several Olympian gods, including Zeus, whom she saved from being devoured by his father Cronus.
-
D.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
E.
Pallas
Pallas was a British Royal Navy frigate active during the American Revolutionary War, notably engaged in North Sea operations against French and American forces.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2d9c98481909141f7f8ad9b8c1d |
completed | March 7, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:42 p.m.