Triple
T7554445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mermaids |
E178623
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Lauren Lloyd
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
|
E690093
|
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 Lloyd | Statement: [Mermaids, producer, Lauren Lloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Lloyd Context triple: [Mermaids, producer, Lauren Lloyd]
-
A.
Lauren Maltby
Lauren Maltby is an American former child actress and psychologist best known for her role as Margie Hammond in Disney Channel’s "Zenon" film series.
-
B.
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.
-
C.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
D.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
E.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
- 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 Lloyd Triple: [Mermaids, producer, Lauren Lloyd]
Generated description
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Lloyd Target entity description: Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
-
A.
Lauren Maltby
Lauren Maltby is an American former child actress and psychologist best known for her role as Margie Hammond in Disney Channel’s "Zenon" film series.
-
B.
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.
-
C.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
D.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
E.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b990148190b26a3a262cf538b3 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91b1532808190a0b85fa98ef24cfa |
completed | March 29, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69c91c16d49481909afe69ac6d542a6c |
completed | March 29, 2026, 12:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c91ccb3e348190b294789d17dbacf3 |
completed | March 29, 2026, 12:36 p.m. |
Created at: March 27, 2026, 3:49 p.m.