Triple
T7622799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hahn |
E172540
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
|
E765482
|
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 Hahn | Statement: [Hahn, hasNotableBearer, Nikki Hahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki Hahn Context triple: [Hahn, hasNotableBearer, Nikki Hahn]
-
A.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
B.
Jessica Hahn
Jessica Hahn is an American former church secretary and model who became widely known for her involvement in the 1980s televangelist Jim Bakker sex scandal and subsequent appearances in Playboy and on television.
-
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 Shuler
Nikki Shuler is the wife of former NFL quarterback and U.S. Congressman Heath Shuler and is known primarily in connection with his political and public life.
-
E.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
- 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 Hahn Triple: [Hahn, hasNotableBearer, Nikki Hahn]
Generated description
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikki Hahn Target entity description: Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
-
A.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
B.
Jessica Hahn
Jessica Hahn is an American former church secretary and model who became widely known for her involvement in the 1980s televangelist Jim Bakker sex scandal and subsequent appearances in Playboy and on television.
-
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 Shuler
Nikki Shuler is the wife of former NFL quarterback and U.S. Congressman Heath Shuler and is known primarily in connection with his political and public life.
-
E.
Nikki Satosky
Nikki Satosky is a fictional character portrayed by actress Mara Wilson.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa65309c8190b95b894c051b003d |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9e1afb08190a1befb047ee96ca8 |
completed | April 3, 2026, 1 p.m. |
| NEDg | Description generation | batch_69cfbaeb3eec8190b027f59961c412b2 |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb6235148190850865a734d55a6c |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 27, 2026, 3:56 p.m.