Triple
T9941950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Fortier |
E194102
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lori Fortier
Lori Fortier is an American woman known for her involvement as a key witness and accomplice in the events surrounding the 1995 Oklahoma City bombing.
|
E899492
|
NE FINISHED |
How this triple was built (4 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: Lori Fortier | Statement: [Michael Fortier, spouse, Lori Fortier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori Fortier Context triple: [Michael Fortier, spouse, Lori Fortier]
-
A.
Valerie LaPointe
Valerie LaPointe is an American storyboard artist, writer, and director best known for her story work at Pixar, including on Toy Story 4.
-
B.
Lisa Houle
Lisa Houle is a Canadian actress and sound department professional, known for her work in film and television and her long-time marriage to actor Stephen McHattie.
-
C.
Christina Tremblay
Christina Tremblay is best known as the mother of Canadian child actor Jacob Tremblay.
-
D.
Marsha Gervais
Marsha Gervais is known as the sister of British comedian, actor, and writer Ricky Gervais.
-
E.
Stephanie Labbé
Stephanie Labbé is a Canadian professional soccer goalkeeper best known for starring with the Canadian women’s national team, including helping them win Olympic gold at Tokyo 2020.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lori Fortier Triple: [Michael Fortier, spouse, Lori Fortier]
Generated description
Lori Fortier is an American woman known for her involvement as a key witness and accomplice in the events surrounding the 1995 Oklahoma City bombing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lori Fortier Target entity description: Lori Fortier is an American woman known for her involvement as a key witness and accomplice in the events surrounding the 1995 Oklahoma City bombing.
-
A.
Valerie LaPointe
Valerie LaPointe is an American storyboard artist, writer, and director best known for her story work at Pixar, including on Toy Story 4.
-
B.
Lisa Houle
Lisa Houle is a Canadian actress and sound department professional, known for her work in film and television and her long-time marriage to actor Stephen McHattie.
-
C.
Christina Tremblay
Christina Tremblay is best known as the mother of Canadian child actor Jacob Tremblay.
-
D.
Marsha Gervais
Marsha Gervais is known as the sister of British comedian, actor, and writer Ricky Gervais.
-
E.
Stephanie Labbé
Stephanie Labbé is a Canadian professional soccer goalkeeper best known for starring with the Canadian women’s national team, including helping them win Olympic gold at Tokyo 2020.
- F. None of above. chosen
Provenance (5 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb610905c81909d669265c92021a5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3734e5e688190bbfa472547ef65e8 |
completed | April 18, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: March 30, 2026, 8:44 p.m.