Triple
T9913101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziegler |
E185795
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Nikki Ziegler
Nikki Ziegler is an individual notable enough to be recognized as a prominent bearer of the surname Ziegler.
|
E847110
|
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 Ziegler | Statement: [Ziegler, notableBearer, Nikki Ziegler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki Ziegler Context triple: [Ziegler, notableBearer, Nikki Ziegler]
-
A.
Jennifer Ziegler
Jennifer Ziegler is an American author best known for her humorous and heartfelt middle-grade and young adult novels.
-
B.
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.
-
C.
Molly Ziegler
Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
-
D.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
E.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
- 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 Ziegler Triple: [Ziegler, notableBearer, Nikki Ziegler]
Generated description
Nikki Ziegler is an individual notable enough to be recognized as a prominent bearer of the surname Ziegler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikki Ziegler Target entity description: Nikki Ziegler is an individual notable enough to be recognized as a prominent bearer of the surname Ziegler.
-
A.
Jennifer Ziegler
Jennifer Ziegler is an American author best known for her humorous and heartfelt middle-grade and young adult novels.
-
B.
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.
-
C.
Molly Ziegler
Molly Ziegler is a fictional character on the television series "The West Wing," known as the daughter of White House Communications Director Toby Ziegler.
-
D.
Nikki Hassman
Nikki Hassman is a songwriter best known for co-writing the contemporary Christian song "I'm Alive."
-
E.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3171f23d08190a5f9cd2c3d139a0e |
completed | April 6, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69d3183a8410819094e81fe9f43717b2 |
completed | April 6, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d318adfcb081909a3567f5327765ab |
completed | April 6, 2026, 2:21 a.m. |
Created at: March 30, 2026, 8:41 p.m.