Triple
T17089226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Nicolet |
E414679
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nicolet
Nicolet is a surname most notably associated with American actress Danielle Nicolet, known for her roles in television and film.
|
E1249686
|
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: Nicolet | Statement: [Danielle Nicolet, familyName, Nicolet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolet Context triple: [Danielle Nicolet, familyName, Nicolet]
-
A.
Nicolet
Nicolet is a city in Quebec, Canada, known as a regional center along the Nicolet River and the seat of a Roman Catholic diocese.
-
B.
Labriola
Labriola is an Italian surname borne by several notable figures, including philosophers, politicians, and writers.
-
C.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
- 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: Nicolet Triple: [Danielle Nicolet, familyName, Nicolet]
Generated description
Nicolet is a surname most notably associated with American actress Danielle Nicolet, known for her roles in television and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicolet Target entity description: Nicolet is a surname most notably associated with American actress Danielle Nicolet, known for her roles in television and film.
-
A.
Nicolet
Nicolet is a city in Quebec, Canada, known as a regional center along the Nicolet River and the seat of a Roman Catholic diocese.
-
B.
Labriola
Labriola is an Italian surname borne by several notable figures, including philosophers, politicians, and writers.
-
C.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe9dc808190ab20537100e7ddee |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee9fd108190b12e8624bb66caf2 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012fe2a1b081909483baef845cc2c1 |
completed | May 11, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0130c2ad9881909d8a8b64ebb59aa6 |
completed | May 11, 2026, 1:28 a.m. |
Created at: April 10, 2026, 5:35 a.m.