Triple
T22531336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seven-Per-Cent Solution |
E557042
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Samantha Eggar |
—
|
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: Samantha Eggar | Statement: [The Seven-Per-Cent Solution, stars, Samantha Eggar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samantha Eggar Context triple: [The Seven-Per-Cent Solution, stars, Samantha Eggar]
-
A.
Samantha Eggar
chosen
Samantha Eggar is a British actress best known for her acclaimed, Oscar-nominated performance in the psychological thriller film "The Collector."
-
B.
Sara Potts
Sara Potts is known as the sister of American actress and television personality Olivia Munn.
-
C.
Tessa Piggott
Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
-
D.
Samantha Mollison
Samantha Mollison is a middle-class resident of the English village of Pagford in J.K. Rowling’s novel "The Casual Vacancy," whose personal frustrations and family tensions reflect the book’s themes of social hypocrisy and private discontent.
-
E.
Tamsin Sevier
Tamsin Sevier is a Jaeger pilot in the Pacific Rim universe, known for co-piloting the Japanese Mark-1 Jaeger Coyote Tango against early Kaiju attacks.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.