Triple
T9299103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Time |
E223714
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Marsha Hunt |
E214588
|
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: Marsha Hunt | Statement: [The Happy Time, starredActor, Marsha Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marsha Hunt Context triple: [The Happy Time, starredActor, Marsha Hunt]
-
A.
Marsha Hunt
chosen
Marsha Hunt is an American actress and activist best known for her work in Hollywood films of the 1930s and 1940s and for her later humanitarian and political engagement.
-
B.
Dorothy Shaw
Dorothy Shaw is the witty, down-to-earth brunette showgirl and best friend of Lorelei Lee in the musical comedy "Gentlemen Prefer Blondes."
-
C.
Marion Marshall
Marion Marshall was an American film actress who appeared in numerous Hollywood movies from the 1940s through the 1960s.
-
D.
Patty Hicks
Patty Hicks is a film producer known for her work on the animated superhero comedy "DC League of Super-Pets."
-
E.
Marilee Earle
Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08cf50cc8190a025f478dff4f9fd |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bcc15508190b54acd74d4d7c911 |
completed | April 4, 2026, 5:35 p.m. |
Created at: March 30, 2026, 7:36 p.m.