Triple
T9060249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love & Marriage: Huntsville |
E217102
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Carlos King |
E774939
|
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: Carlos King | Statement: [Love & Marriage: Huntsville, executiveProducer, Carlos King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlos King Context triple: [Love & Marriage: Huntsville, executiveProducer, Carlos King]
-
A.
Carlos King
chosen
Carlos King is a television producer and reality TV showrunner best known for creating and executive producing popular unscripted series.
-
B.
Ed King
Ed King was an American rock guitarist and songwriter best known as a member of Lynyrd Skynyrd, co-writing hits like "Sweet Home Alabama."
-
C.
Mark King
Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
-
D.
Dave King
Dave King was an English comedian, singer, and character actor known for his work in film and television from the 1950s onward.
-
E.
Jonathan King
Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01798a79081909885a8e61bf04dc3 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:10 p.m.