Triple
T20154654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne-Louise Lambert |
E491523
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Miranda |
—
|
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: Miranda | Statement: [Anne-Louise Lambert, playedCharacter, Miranda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miranda Context triple: [Anne-Louise Lambert, playedCharacter, Miranda]
-
A.
Miranda
Miranda is one of Uranus's major moons, known for its unusually varied and geologically complex surface featuring dramatic cliffs and patchwork terrains.
-
B.
Miranda
Miranda is a small coastal settlement in New Zealand’s North Island, known for its shorebird habitat and hot mineral pools along the Firth of Thames.
-
C.
Miranda
Miranda is a major commercial and residential suburb in southern Sydney, New South Wales, known for its large shopping centre and transport links.
-
D.
Miranda
"Miranda" is a song featured on the compilation album "Greatest Hits."
-
E.
Miranda
chosen
Miranda is a British television sitcom created by and starring Miranda Hart, known for its physical comedy and awkward, self-deprecating humor.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.