Triple
T3321654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bounty |
E69807
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Tevaite Vernette
Tevaite Vernette is a French Polynesian actress best known for her role in the 1984 historical drama film "The Bounty."
|
E349151
|
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: Tevaite Vernette | Statement: [The Bounty, stars, Tevaite Vernette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tevaite Vernette Context triple: [The Bounty, stars, Tevaite Vernette]
-
A.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
B.
Tiffani
Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
-
C.
Vinessa Shaw
Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
-
D.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
E.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
- 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: Tevaite Vernette Triple: [The Bounty, stars, Tevaite Vernette]
Generated description
Tevaite Vernette is a French Polynesian actress best known for her role in the 1984 historical drama film "The Bounty."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tevaite Vernette Target entity description: Tevaite Vernette is a French Polynesian actress best known for her role in the 1984 historical drama film "The Bounty."
-
A.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
B.
Tiffani
Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
-
C.
Vinessa Shaw
Vinessa Shaw is an American actress known for her roles in films such as "Hocus Pocus," "Eyes Wide Shut," and "The Hills Have Eyes."
-
D.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
E.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13d13a88190828d9a03fd0865ce |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7954248190b0c7b5d6ab3c6687 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c368e4c8190a011833fce090a7d |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31d3fa6088190a5abf858c01c25bc |
completed | March 12, 2026, 8:08 p.m. |
Created at: March 8, 2026, 3:11 p.m.