Triple
T9853777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haas |
E239533
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nikki Haas
Nikki Haas is a notable individual recognized for bearing the Haas surname, which is associated with various prominent figures across fields such as business, sports, and academia.
|
E848628
|
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 Haas | Statement: [Haas, hasNotableBearer, Nikki Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki Haas Context triple: [Haas, hasNotableBearer, Nikki Haas]
-
A.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
-
B.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
C.
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.
-
D.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
-
E.
Nikki Gardner
Nikki Gardner is a fictional character from the American sitcom "The Exes," which follows the lives and relationships of divorced men sharing an apartment.
- 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 Haas Triple: [Haas, hasNotableBearer, Nikki Haas]
Generated description
Nikki Haas is a notable individual recognized for bearing the Haas surname, which is associated with various prominent figures across fields such as business, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikki Haas Target entity description: Nikki Haas is a notable individual recognized for bearing the Haas surname, which is associated with various prominent figures across fields such as business, sports, and academia.
-
A.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
-
B.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
C.
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.
-
D.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
-
E.
Nikki Gardner
Nikki Gardner is a fictional character from the American sitcom "The Exes," which follows the lives and relationships of divorced men sharing an apartment.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d369657ecc81909d0c710ca919602e |
completed | April 6, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69d37540b60c8190a52b03c57b4e3708 |
completed | April 6, 2026, 8:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3763948188190a47f48076fc767cb |
completed | April 6, 2026, 9 a.m. |
Created at: March 30, 2026, 8:34 p.m.