Triple
T7918101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Movie |
E183876
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Vanessa Bloome
Vanessa Bloome is a kind-hearted florist who befriends a talking bee and becomes his ally in challenging humanity’s exploitation of bees in the animated film "Bee Movie."
|
E700251
|
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: Vanessa Bloome | Statement: [Bee Movie, mainCharacter, Vanessa Bloome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanessa Bloome Context triple: [Bee Movie, mainCharacter, Vanessa Bloome]
-
A.
Bella Greene
Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
-
B.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
C.
Trina Vega
Trina Vega is a dramatic, attention-seeking aspiring performer and Tori Vega’s older sister on the Nickelodeon sitcom "Victorious."
-
D.
Amber Fitch
Amber Fitch is a fictional character from the television series "Crisis," portrayed as the privileged yet conflicted daughter of the U.S. President.
-
E.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
- 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: Vanessa Bloome Triple: [Bee Movie, mainCharacter, Vanessa Bloome]
Generated description
Vanessa Bloome is a kind-hearted florist who befriends a talking bee and becomes his ally in challenging humanity’s exploitation of bees in the animated film "Bee Movie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanessa Bloome Target entity description: Vanessa Bloome is a kind-hearted florist who befriends a talking bee and becomes his ally in challenging humanity’s exploitation of bees in the animated film "Bee Movie."
-
A.
Bella Greene
Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
-
B.
Vanessa
Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
-
C.
Trina Vega
Trina Vega is a dramatic, attention-seeking aspiring performer and Tori Vega’s older sister on the Nickelodeon sitcom "Victorious."
-
D.
Amber Fitch
Amber Fitch is a fictional character from the television series "Crisis," portrayed as the privileged yet conflicted daughter of the U.S. President.
-
E.
Vivian
Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a8fbbb48190b50def4941761a31 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5be9e6548190a01d2e6db8dc4864 |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb7633c5a0819089deb6e89d9acb8e |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb84dc86c8190893d67ce07c51aa0 |
completed | March 31, 2026, 12:04 p.m. |
Created at: March 30, 2026, 5:05 p.m.