Triple
T14654166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Walters (MCU) |
E344065
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object |
Nikki Ramos
Nikki Ramos is a sharp-witted paralegal and Jennifer Walters’ closest confidante in the Marvel Cinematic Universe series "She-Hulk: Attorney at Law."
|
E1129353
|
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: Nikki Ramos | Statement: [Jennifer Walters (MCU), hasFriend, Nikki Ramos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki Ramos Context triple: [Jennifer Walters (MCU), hasFriend, Nikki Ramos]
-
A.
Nikki Toscano
Nikki Toscano is an American television writer and producer known for her work on series such as Bates Motel, 24: Legacy, and The Offer.
-
B.
Nikki Alexander
Nikki Alexander is a central forensic pathologist character in the British crime drama television series "Silent Witness."
-
C.
Natalie Belisario
Natalie Belisario is the central protagonist of the film "The Cooler," around whom the story’s main events and character dynamics revolve.
-
D.
Nikki Sapp
Nikki Sapp is an American former Miami Heat dancer, art gallery director, and podcast host best known as the wife of NBA coach Erik Spoelstra.
-
E.
Aimee Lagos
Aimee Lagos is an American screenwriter and filmmaker best known for writing the thriller film "No Good Deed."
- 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: Nikki Ramos Triple: [Jennifer Walters (MCU), hasFriend, Nikki Ramos]
Generated description
Nikki Ramos is a sharp-witted paralegal and Jennifer Walters’ closest confidante in the Marvel Cinematic Universe series "She-Hulk: Attorney at Law."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikki Ramos Target entity description: Nikki Ramos is a sharp-witted paralegal and Jennifer Walters’ closest confidante in the Marvel Cinematic Universe series "She-Hulk: Attorney at Law."
-
A.
Nikki Toscano
Nikki Toscano is an American television writer and producer known for her work on series such as Bates Motel, 24: Legacy, and The Offer.
-
B.
Nikki Alexander
Nikki Alexander is a central forensic pathologist character in the British crime drama television series "Silent Witness."
-
C.
Natalie Belisario
Natalie Belisario is the central protagonist of the film "The Cooler," around whom the story’s main events and character dynamics revolve.
-
D.
Nikki Sapp
Nikki Sapp is an American former Miami Heat dancer, art gallery director, and podcast host best known as the wife of NBA coach Erik Spoelstra.
-
E.
Aimee Lagos
Aimee Lagos is an American screenwriter and filmmaker best known for writing the thriller film "No Good Deed."
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bc289f88190819c2e93c0f816a7 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8d841c8081909a0e5434920153ad |
completed | May 9, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8ddd97008190ba60258aaf6550e8 |
completed | May 9, 2026, 1:29 a.m. |
Created at: April 10, 2026, 1:27 a.m.