Triple
T16758546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Corday |
E407272
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Corday Productions |
E391448
|
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: Corday Productions | Statement: [Betty Corday, employer, Corday Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corday Productions Context triple: [Betty Corday, employer, Corday Productions]
-
A.
Corday Productions
chosen
Corday Productions is an American television production company best known for creating and producing the long-running daytime soap opera "Days of Our Lives."
-
B.
Rip Cord Productions
Rip Cord Productions is a television production company best known for its work on the acclaimed HBO series "The White Lotus."
-
C.
Ardent Productions
Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
-
D.
Marianne Productions
Marianne Productions is a film production company known for producing the French-British drama "Esther Kahn."
-
E.
Lucamar Productions
Lucamar Productions is a film and television production company co-founded by producer John DeLuca, known for collaborating on major Hollywood musical and family-oriented projects.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abea156c8190a5ee6d0028471810 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52b17b88190af24c04d16980c9f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.