Triple
T20844446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colleen Moore |
E513183
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Colleen Moore |
—
|
NE NERFINISHED |
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: Colleen Moore | Statement: [Colleen Moore, name, Colleen Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colleen Moore Context triple: [Colleen Moore, name, Colleen Moore]
-
A.
Colleen Moore
chosen
Colleen Moore was a popular American silent film actress best known for her flapper roles in the 1920s, which helped define the era’s modern screen heroine.
-
B.
Clara Bow
Clara Bow was a hugely popular American silent film actress of the 1920s, famously known as the original "It Girl" and a defining sex symbol of the Jazz Age.
-
C.
ZaSu Pitts
ZaSu Pitts was an American actress known for her distinctive comedic persona and expressive features, who appeared in both silent films and talkies throughout a long Hollywood career.
-
D.
Margaret O'Brien
Margaret O'Brien is an American former child actress best known for her acclaimed performances in 1940s films such as "Meet Me in St. Louis."
-
E.
Lulie Swanson
Lulie Swanson was the woman who served as the sponsor for the U.S. Navy aircraft carrier USS Enterprise (CV-6) at its launching ceremony.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34deef88190992b959b83bc59b1 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.