Triple
T6579200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Fair Lady (film) |
E157247
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Stanley Holloway |
E205504
|
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: Stanley Holloway | Statement: [My Fair Lady (film), stars, Stanley Holloway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanley Holloway Context triple: [My Fair Lady (film), stars, Stanley Holloway]
-
A.
Stanley Holloway
chosen
Stanley Holloway was an English actor and comic entertainer best known for his character roles on stage and in films such as "My Fair Lady" and numerous Ealing comedies.
-
B.
Kenneth Williams
Kenneth Williams was a celebrated British comic actor and raconteur, best known for his roles in the "Carry On" films and his distinctive, witty presence on radio and television panel shows.
-
C.
Ron Todd
Ron Todd was a prominent British trade union leader who served as a key figure in the labor movement during the late 20th century.
-
D.
Ron Todd
Ron Todd is an American politician who served as the Kansas Insurance Commissioner before Kathleen Sebelius.
-
E.
Peter Ustinov
Peter Ustinov was a British actor, writer, and director renowned for his wit, versatility, and memorable character roles in film and television.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae8dad608190b4708368a7af6e5d |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56fe8f08190ad30773f29b207c5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.