Triple
T6019008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southland |
E134017
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | John Wells |
E27379
|
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: John Wells | Statement: [Southland, executiveProducer, John Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wells Context triple: [Southland, executiveProducer, John Wells]
-
A.
John Wells
chosen
John Wells is an American television producer, writer, and director best known for overseeing acclaimed series such as ER and The West Wing.
-
B.
John Spencer
John Spencer was an American actor best known for his Emmy-winning role as White House Chief of Staff Leo McGarry on the television drama "The West Wing."
-
C.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
D.
Tully Friedman
Tully Friedman is an American financier and private equity investor best known as the co-founder of the investment firm Hellman & Friedman.
-
E.
Danny Masterson
Danny Masterson is an American actor best known for playing Steven Hyde on the sitcom "That '70s Show."
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f8589d0819089ae7840461640f6 |
completed | March 22, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108b842c48190b9469e2892a213d3 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:07 p.m.