Triple
T13779629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka |
E331099
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Thania St. John |
E962689
|
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: Thania St. John | Statement: [Eureka, executiveProducer, Thania St. John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thania St. John Context triple: [Eureka, executiveProducer, Thania St. John]
-
A.
Thania St. John
chosen
Thania St. John is an American television writer and producer known for her work on numerous drama series, including serving as an executive producer on the show "Six Degrees."
-
B.
Thea Gregory
Thea Gregory was a British actress active in the mid-20th century, known for her roles in films such as the science fiction movie "Spaceways."
-
C.
Marta Thomas
Marta Thomas was the wife of Polish military leader and interwar statesman Eduard Rydz-Śmigły.
-
D.
Denisia Andrews
Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
-
E.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07670b08190a205d3c7ccb9dded |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.