Triple
T10512440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Hisses |
E247948
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Bert Lahr |
E49488
|
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: Bert Lahr | Statement: [Love and Hisses, hasCastMember, Bert Lahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Lahr Context triple: [Love and Hisses, hasCastMember, Bert Lahr]
-
A.
Bert Lahr
chosen
Bert Lahr was an American actor and comedian best known for his iconic portrayal of the Cowardly Lion in the classic 1939 film "The Wizard of Oz."
-
B.
Curly Howard
Curly Howard was an American comedian best known as the most popular and zany member of the slapstick comedy team The Three Stooges.
-
C.
Charles Gleason
Charles Gleason is a personal name shared by multiple individuals, including various professionals and public figures, rather than a single widely recognized person.
-
D.
Red Skelton
Red Skelton was a beloved American comedian, actor, and radio and television entertainer best known for his long-running TV variety show and iconic clown characters.
-
E.
Fred Allen
Fred Allen was an American film editor active in mid-20th-century cinema, known for his work on numerous Hollywood productions.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933e4ae048190be51a02c571fab8b |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:27 p.m.