Triple
T9281451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vegas Vacation |
E223076
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Elisa Bell
Elisa Bell is a screenwriter best known for her work on the comedy film "Vegas Vacation."
|
E789931
|
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: Elisa Bell | Statement: [Vegas Vacation, screenwriter, Elisa Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisa Bell Context triple: [Vegas Vacation, screenwriter, Elisa Bell]
-
A.
Elisa Donovan
Elisa Donovan is an American actress best known for her role as the snobbish socialite Amber Mariens in the film and television versions of "Clueless."
-
B.
Elisa
Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
-
C.
Elisa Ambrogio
Elisa Ambrogio is an American musician and guitarist best known as a founding member and frontwoman of the noise rock band Magik Markers.
-
D.
Elise Sellas
Elise Sellas is a free-spirited contemporary ballet dancer whose chance encounters with politician David Norris challenge the fate-controlling powers in the film "The Adjustment Bureau."
-
E.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
- 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: Elisa Bell Triple: [Vegas Vacation, screenwriter, Elisa Bell]
Generated description
Elisa Bell is a screenwriter best known for her work on the comedy film "Vegas Vacation."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elisa Bell Target entity description: Elisa Bell is a screenwriter best known for her work on the comedy film "Vegas Vacation."
-
A.
Elisa Donovan
Elisa Donovan is an American actress best known for her role as the snobbish socialite Amber Mariens in the film and television versions of "Clueless."
-
B.
Elisa
Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
-
C.
Elisa Ambrogio
Elisa Ambrogio is an American musician and guitarist best known as a founding member and frontwoman of the noise rock band Magik Markers.
-
D.
Elise Sellas
Elise Sellas is a free-spirited contemporary ballet dancer whose chance encounters with politician David Norris challenge the fate-controlling powers in the film "The Adjustment Bureau."
-
E.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081c2b048190aa6930de3bf2f87f |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b209a5b48190a7e6d983bcda5363 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b3548dd881908adadf4a728cec50 |
completed | April 4, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4083da88190ab996ee53bf5ff16 |
completed | April 4, 2026, 6:47 a.m. |
Created at: March 30, 2026, 7:34 p.m.