Triple
T4663479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharktopus |
E102788
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Liv Boughn
Liv Boughn is an actress known for her role in the cult sci-fi horror film "Sharktopus."
|
E665300
|
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: Liv Boughn | Statement: [Sharktopus, castMember, Liv Boughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liv Boughn Context triple: [Sharktopus, castMember, Liv Boughn]
-
A.
Ruth Nelson
Ruth Nelson was an American stage and film actress known for her work with the Group Theatre and roles in classic mid-20th-century films.
-
B.
Lisa Budwing
Lisa Budwing is a central child protagonist in the science fiction adventure film "Zathura: A Space Adventure," who must survive a dangerous intergalactic board game and its alien threats.
-
C.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
D.
Carol Henning
Carol Henning was the first wife of American author John Steinbeck, with whom he lived during his early, formative years as a writer.
-
E.
Sonja Hogg
Sonja Hogg is an American women's basketball coach best known for helping build Baylor University's women's program into a national contender.
- 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: Liv Boughn Triple: [Sharktopus, castMember, Liv Boughn]
Generated description
Liv Boughn is an actress known for her role in the cult sci-fi horror film "Sharktopus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liv Boughn Target entity description: Liv Boughn is an actress known for her role in the cult sci-fi horror film "Sharktopus."
-
A.
Ruth Nelson
Ruth Nelson was an American stage and film actress known for her work with the Group Theatre and roles in classic mid-20th-century films.
-
B.
Lisa Budwing
Lisa Budwing is a central child protagonist in the science fiction adventure film "Zathura: A Space Adventure," who must survive a dangerous intergalactic board game and its alien threats.
-
C.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
D.
Carol Henning
Carol Henning was the first wife of American author John Steinbeck, with whom he lived during his early, formative years as a writer.
-
E.
Sonja Hogg
Sonja Hogg is an American women's basketball coach best known for helping build Baylor University's women's program into a national contender.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827415f248190aa80f425c8ac3a99 |
completed | March 28, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69c828c8b0588190a5a99380dc25d837 |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8296962b48190b9f5cc4a66b93b91 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 20, 2026, 1:15 p.m.