Triple
T9853938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady in White |
E239537
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Len Cariou |
E373019
|
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: Len Cariou | Statement: [The Lady in White, starring, Len Cariou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Len Cariou Context triple: [The Lady in White, starring, Len Cariou]
-
A.
Len Cariou
chosen
Len Cariou is a Canadian actor and Tony Award–winning stage performer best known for originating the title role in the musical "Sweeney Todd" and for his work in film and television, including the series "Blue Bloods."
-
B.
Phil Méheux
Phil Méheux is a British cinematographer known for his work on major films including James Bond entries like "GoldenEye" and "Casino Royale."
-
C.
André Malan
André Malan is a South African-born cricketer known for playing as a top-order batsman in domestic competitions.
-
D.
Juan Laporte
Juan Laporte is a former Puerto Rican professional boxer and WBC featherweight champion known for his toughness and for facing many of the top fighters of his era.
-
E.
David Madel
David Madel is a British Conservative politician who served as a Member of Parliament from the 1970s until the late 1990s.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1ead91ee88190bd4cb28ab16bf703 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:34 p.m.