Triple
T17916671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Jones |
E447944
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Laurie Pontoni |
E447944
|
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: Laurie Pontoni | Statement: [Doug Jones, spouse, Laurie Pontoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurie Pontoni Context triple: [Doug Jones, spouse, Laurie Pontoni]
-
A.
Laurie Pontoni
chosen
Laurie Pontoni is best known as the wife of American actor and contortionist Doug Jones, recognized for his many creature and monster roles in film and television.
-
B.
Julie LeBreton
Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
-
C.
Laurie Rose
Laurie Rose is a British cinematographer known for his work on acclaimed films and television series, often collaborating with director Ben Wheatley.
-
D.
Lori Peters
Lori Peters is an American drummer best known for her tenure with the Christian rock band Skillet.
-
E.
Laurie Farinacci
Laurie Farinacci is an American model best known for her former marriage to Goo Goo Dolls frontman John Rzeznik.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0700c58c008190be11ddd0c0d13595 |
completed | May 15, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:20 a.m.