Triple
T20388749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unhook the Stars |
E498028
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Moira Kelly |
—
|
NE NERFINISHED |
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: Moira Kelly | Statement: [Unhook the Stars, starring, Moira Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moira Kelly Context triple: [Unhook the Stars, starring, Moira Kelly]
-
A.
Moira Kelly
chosen
Moira Kelly is an American actress best known for her film and television roles, including voicing the adult Nala in Disney’s "The Lion King" and starring in series like "The West Wing" and "One Tree Hill."
-
B.
Finola Jones
Finola Jones is a British MI6 agent and one of the two central protagonists investigating mysterious alien wreckage in the science fiction television series "Debris."
-
C.
Finola Hughes
Finola Hughes is a British actress, television host, and dancer best known for her long-running role as Anna Devane on the soap opera "General Hospital."
-
D.
Finola Dwyer
Finola Dwyer is a New Zealand-born, London-based film producer known for acclaimed films such as "An Education" and "Brooklyn."
-
E.
Oona Flaherty
Oona Flaherty is a film editor known for her work on the 2023 adaptation of "Are You There God? It’s Me, Margaret."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.