Triple
T6755954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessa Johansson |
E154458
|
entity |
| Predicate | marriedTo |
P13
|
FINISHED |
| Object | Thomas-John |
E615313
|
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: Thomas-John | Statement: [Jessa Johansson, marriedTo, Thomas-John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas-John Context triple: [Jessa Johansson, marriedTo, Thomas-John]
-
A.
Thomas-John
chosen
Thomas-John is a character in the TV series "Girls," known as Jessa Johansson’s wealthy, abrasive, and short-lived husband.
-
B.
John Thomas
John Thomas is an author known for writing about the Predator franchise.
-
C.
John Thomas
John Thomas is an American cinematographer best known for his work on the Sex and the City television series and its film adaptations.
-
D.
Patrick Thomas
Patrick Thomas is an American actor best known for playing Uncle Fester in adaptations of The Addams Family.
-
E.
Jeremy Thomas
Jeremy Thomas is a renowned British film producer known for his work on acclaimed independent and art-house films, including multiple collaborations with prominent directors.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f5ab0881908619b835b9f068d4 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712aa0b148190955c58af69849cc4 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.