Triple
T22101460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Foreman Went to France |
E546180
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Constance Cummings |
—
|
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: Constance Cummings | Statement: [The Foreman Went to France, castMember, Constance Cummings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constance Cummings Context triple: [The Foreman Went to France, castMember, Constance Cummings]
-
A.
Constance Cummings
chosen
Constance Cummings was a British-American actress known for her work in 1930s Hollywood comedies and later acclaimed stage performances in the United Kingdom.
-
B.
Constance Holt
Constance Holt was the wife of British actor and film producer Edward Chapman.
-
C.
Constance Clayton
Constance Clayton is an American educator who became the first woman and first African American superintendent of the School District of Philadelphia.
-
D.
Constance Dowling
Constance Dowling was an American film and stage actress active in the 1940s and 1950s, known for her roles in Hollywood and Italian cinema.
-
E.
Constance McCashin
Constance McCashin is an American actress best known for her role as Laura Avery Sumner on the long-running prime-time soap opera "Knots Landing."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.