Triple
T16190060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blended |
E392910
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Lauren Reynolds
Lauren Reynolds is a character in the romantic comedy film "Blended," which stars Adam Sandler and Drew Barrymore.
|
E1402891
|
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 Reynolds | Statement: [Blended, hasCharacter, Lauren Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Reynolds Context triple: [Blended, hasCharacter, Lauren Reynolds]
-
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 Greer
Lauren Greer is a notable individual recognized for achievements significant enough to be associated with the surname Greer.
-
C.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
D.
Lauren McCauley
Lauren McCauley is a character in the crime drama series "Black Bird," involved in the story surrounding the investigation and psychological dynamics of the case.
-
E.
Lauren Lyle
Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
- 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 Reynolds Triple: [Blended, hasCharacter, Lauren Reynolds]
Generated description
Lauren Reynolds is a character in the romantic comedy film "Blended," which stars Adam Sandler and Drew Barrymore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Reynolds Target entity description: Lauren Reynolds is a character in the romantic comedy film "Blended," which stars Adam Sandler and Drew Barrymore.
-
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 Greer
Lauren Greer is a notable individual recognized for achievements significant enough to be associated with the surname Greer.
-
C.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
D.
Lauren McCauley
Lauren McCauley is a character in the crime drama series "Black Bird," involved in the story surrounding the investigation and psychological dynamics of the case.
-
E.
Lauren Lyle
Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d4ab8081909a02e5138b29b83b |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6c97f9c8190ae7555aef83cbbd3 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f85977548190b5e66b1914919a94 |
completed | May 16, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f8d26364819086b9e4cfff88ca46 |
completed | May 16, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:02 a.m.