Triple
T20740569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Net 2.0 |
E510426
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Nikki DeLoach
Nikki DeLoach is an American actress and former singer best known for her roles in television series like MTV's "Awkward" and numerous Hallmark Channel movies.
|
E1447797
|
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 DeLoach | Statement: [The Net 2.0, stars, Nikki DeLoach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki DeLoach Context triple: [The Net 2.0, stars, Nikki DeLoach]
-
A.
Nikki Cox
Nikki Cox is an American actress and comedy writer best known for her roles on television series such as "Unhappily Ever After," "Las Vegas," and "Nikki."
-
B.
Allison Jacobs
Allison Jacobs is a film producer known for her work on the comedy-drama movie "Uptown Girls."
-
C.
Nicole Coombs
Nicole Coombs is the mother of Princess Claire of Belgium and a member of the extended Belgian royal family circle.
-
D.
Kimberly Breland
Kimberly Breland is a character portrayed by Julia Garner in the television series "The Americans."
-
E.
Courtney Frerichs
Courtney Frerichs is an American middle-distance runner best known for specializing in the 3000-meter steeplechase and winning a silver medal at the 2020 Tokyo Olympics.
- 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 DeLoach Triple: [The Net 2.0, stars, Nikki DeLoach]
Generated description
Nikki DeLoach is an American actress and former singer best known for her roles in television series like MTV's "Awkward" and numerous Hallmark Channel movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nikki DeLoach Target entity description: Nikki DeLoach is an American actress and former singer best known for her roles in television series like MTV's "Awkward" and numerous Hallmark Channel movies.
-
A.
Nikki Cox
Nikki Cox is an American actress and comedy writer best known for her roles on television series such as "Unhappily Ever After," "Las Vegas," and "Nikki."
-
B.
Allison Jacobs
Allison Jacobs is a film producer known for her work on the comedy-drama movie "Uptown Girls."
-
C.
Nicole Coombs
Nicole Coombs is the mother of Princess Claire of Belgium and a member of the extended Belgian royal family circle.
-
D.
Kimberly Breland
Kimberly Breland is a character portrayed by Julia Garner in the television series "The Americans."
-
E.
Courtney Frerichs
Courtney Frerichs is an American middle-distance runner best known for specializing in the 3000-meter steeplechase and winning a silver medal at the 2020 Tokyo Olympics.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e83bee00819087ca4a2f57d97590 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8aaf8c48190a39ff61647931670 |
completed | May 16, 2026, 9:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e91102e081909b22c8d69c6c994c |
completed | May 16, 2026, 10 p.m. |
Created at: April 16, 2026, 12:32 p.m.