Triple
T5514760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Glenn Miller Story |
E144654
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | June Allyson |
E129341
|
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: June Allyson | Statement: [The Glenn Miller Story, starring, June Allyson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Allyson Context triple: [The Glenn Miller Story, starring, June Allyson]
-
A.
June Allyson
chosen
June Allyson was an American film and stage actress best known for her girl-next-door persona in 1940s and 1950s Hollywood musicals and dramas.
-
B.
Lizabeth Scott
Lizabeth Scott was an American film actress known for her sultry voice and frequent roles as a femme fatale in 1940s and 1950s film noir.
-
C.
Ann Sheridan
Ann Sheridan was an American film actress and singer of the 1930s and 1940s, nicknamed "The Oomph Girl" for her sultry screen presence in numerous Hollywood classics.
-
D.
Jean Simmons
Jean Simmons was a British actress acclaimed for her versatile performances in classic films from the 1940s through the 1960s, including major roles in both British cinema and Hollywood epics.
-
E.
Joan Leslie
Joan Leslie was an American film actress best known for her roles in classic 1940s Hollywood films, often portraying wholesome, girl-next-door characters.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d52b808190ada94893b043fb19 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.