Triple
T11009128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonight and Every Night |
E260200
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Florence Bates |
E201997
|
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: Florence Bates | Statement: [Tonight and Every Night, starring, Florence Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florence Bates Context triple: [Tonight and Every Night, starring, Florence Bates]
-
A.
Florence Bates
chosen
Florence Bates was an American character actress known for her memorable supporting roles in classic Hollywood films of the 1940s and 1950s.
-
B.
Ellen Church
Ellen Church was an American nurse and aviation pioneer recognized as the world’s first female flight attendant.
-
C.
Jess Borden
Jess Borden is a character in Christopher Nolan's film "The Prestige," known as the daughter of magician Alfred Borden.
-
D.
Sarah Crandall
Sarah Crandall is a character in the 1959 post-apocalyptic science fiction film "The World, the Flesh and the Devil," serving as one of the few survivors navigating life in a deserted New York City.
-
E.
Lillian Burns
Lillian Burns was an American acting and dialogue coach and studio executive best known for her influential work at MGM during Hollywood’s Golden Age.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37498b9fc8190860acede4f49ea4a |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.