Triple
T19095507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Bayou |
E467393
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Poppy Hanks
Poppy Hanks is a film producer known for her work on the drama "Blue Bayou."
|
E1359395
|
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: Poppy Hanks | Statement: [Blue Bayou, producer, Poppy Hanks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poppy Hanks Context triple: [Blue Bayou, producer, Poppy Hanks]
-
A.
Dakota Fanning
Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
-
B.
Dakota O'Donnell
Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
-
C.
Britt Robertson
Britt Robertson is an American actress known for her leading roles in films like "The Longest Ride" and television series such as "Life Unexpected" and "Girlboss."
-
D.
Elle Fanning
Elle Fanning is an American actress known for her versatile performances in films such as "Super 8," "Maleficent," and "The Neon Demon," as well as the TV series "The Great."
-
E.
Mckenna Grace
Mckenna Grace is an American actress known for her roles in films and television series such as "Gifted," "The Haunting of Hill House," and "Ghostbusters: Afterlife."
- 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: Poppy Hanks Triple: [Blue Bayou, producer, Poppy Hanks]
Generated description
Poppy Hanks is a film producer known for her work on the drama "Blue Bayou."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poppy Hanks Target entity description: Poppy Hanks is a film producer known for her work on the drama "Blue Bayou."
-
A.
Dakota Fanning
Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
-
B.
Dakota O'Donnell
Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
-
C.
Britt Robertson
Britt Robertson is an American actress known for her leading roles in films like "The Longest Ride" and television series such as "Life Unexpected" and "Girlboss."
-
D.
Elle Fanning
Elle Fanning is an American actress known for her versatile performances in films such as "Super 8," "Maleficent," and "The Neon Demon," as well as the TV series "The Great."
-
E.
Mckenna Grace
Mckenna Grace is an American actress known for her roles in films and television series such as "Gifted," "The Haunting of Hill House," and "Ghostbusters: Afterlife."
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e669d35c819099e2152231197c27 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e87086048190bb33e123a75d6b56 |
completed | May 14, 2026, 3:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e8f73de48190831b72700709055e |
completed | May 14, 2026, 3:23 p.m. |
Created at: April 10, 2026, 12:04 p.m.