Triple
T16445017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overboard |
E399401
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Alexandra Rose
Alexandra Rose is a film producer best known for her work on the 1987 romantic comedy "Overboard."
|
E1213845
|
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: Alexandra Rose | Statement: [Overboard, producer, Alexandra Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Rose Context triple: [Overboard, producer, Alexandra Rose]
-
A.
Alexandra Wolfe
Alexandra Wolfe is an American journalist and author, known for her work at The Wall Street Journal and for being the daughter of celebrated writer Tom Wolfe.
-
B.
Alexis Rose
Alexis Rose is a stylish, formerly wealthy socialite known for her dramatic flair, quirky catchphrases, and surprising personal growth throughout the comedy series Schitt's Creek.
-
C.
Ava Alexander
Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
-
D.
Alexandra Kyle
Alexandra Kyle is an American actress best known for playing the younger version of Lucy "Tom-Tom" Wyman in the romantic comedy film "13 Going on 30."
-
E.
Alexandra Paul
Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
- 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: Alexandra Rose Triple: [Overboard, producer, Alexandra Rose]
Generated description
Alexandra Rose is a film producer best known for her work on the 1987 romantic comedy "Overboard."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexandra Rose Target entity description: Alexandra Rose is a film producer best known for her work on the 1987 romantic comedy "Overboard."
-
A.
Alexandra Wolfe
Alexandra Wolfe is an American journalist and author, known for her work at The Wall Street Journal and for being the daughter of celebrated writer Tom Wolfe.
-
B.
Alexis Rose
Alexis Rose is a stylish, formerly wealthy socialite known for her dramatic flair, quirky catchphrases, and surprising personal growth throughout the comedy series Schitt's Creek.
-
C.
Ava Alexander
Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
-
D.
Alexandra Kyle
Alexandra Kyle is an American actress best known for playing the younger version of Lucy "Tom-Tom" Wyman in the romantic comedy film "13 Going on 30."
-
E.
Alexandra Paul
Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdb5d908190bb6c5cb3c794cf4b |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045922d748190bb3200c96f244149 |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00473d31308190ab836c09da2a82da |
completed | May 10, 2026, 8:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0047b4b6688190afef52b39788ceae |
completed | May 10, 2026, 8:54 a.m. |
Created at: April 10, 2026, 5:10 a.m.