Triple
T13391580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Fischler |
E319584
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lauren Bowles
Lauren Bowles is an American actress known for her roles in television series such as "True Blood" and "Seinfeld."
|
E1172561
|
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: Lauren Bowles | Statement: [Patrick Fischler, spouse, Lauren Bowles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Bowles Context triple: [Patrick Fischler, spouse, Lauren Bowles]
-
A.
Lauren Barnes
Lauren Barnes is an American professional soccer defender best known for her standout career with OL Reign in the National Women's Soccer League.
-
B.
Lauren Bennett
Lauren Bennett is a British singer and model best known for her vocal feature on LMFAO's global hit "Party Rock Anthem" and as a member of the girl group G.R.L.
-
C.
Lauren Parkinson
Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
-
D.
Lauren Dunn
Lauren Dunn is a music video director known for her creative visual work on contemporary artists’ projects.
-
E.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
- 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: Lauren Bowles Triple: [Patrick Fischler, spouse, Lauren Bowles]
Generated description
Lauren Bowles is an American actress known for her roles in television series such as "True Blood" and "Seinfeld."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Bowles Target entity description: Lauren Bowles is an American actress known for her roles in television series such as "True Blood" and "Seinfeld."
-
A.
Lauren Barnes
Lauren Barnes is an American professional soccer defender best known for her standout career with OL Reign in the National Women's Soccer League.
-
B.
Lauren Bennett
Lauren Bennett is a British singer and model best known for her vocal feature on LMFAO's global hit "Party Rock Anthem" and as a member of the girl group G.R.L.
-
C.
Lauren Parkinson
Lauren Parkinson is an American actress best known for her role in the fantasy action film "Avengers Grimm."
-
D.
Lauren Dunn
Lauren Dunn is a music video director known for her creative visual work on contemporary artists’ projects.
-
E.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff77d4884c81909d43e590d406feff |
completed | May 9, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff780af73c81909a98f67bd53f7348 |
completed | May 9, 2026, 6:08 p.m. |
Created at: April 9, 2026, 9:34 p.m.