Triple
T5377328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darcie Glazer Kassewitz |
E112993
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Darcie
Darcie is a given name commonly used as a feminine first name in English-speaking countries.
|
E514959
|
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: Darcie | Statement: [Darcie Glazer Kassewitz, givenName, Darcie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darcie Context triple: [Darcie Glazer Kassewitz, givenName, Darcie]
-
A.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
B.
Daisy Eagan
Daisy Eagan is an American actress best known for becoming one of the youngest Tony Award winners for her performance as Mary Lennox in the Broadway musical "The Secret Garden."
-
C.
Tessa
Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Adrianne
Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
- 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: Darcie Triple: [Darcie Glazer Kassewitz, givenName, Darcie]
Generated description
Darcie is a given name commonly used as a feminine first name in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darcie Target entity description: Darcie is a given name commonly used as a feminine first name in English-speaking countries.
-
A.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
B.
Daisy Eagan
Daisy Eagan is an American actress best known for becoming one of the youngest Tony Award winners for her performance as Mary Lennox in the Broadway musical "The Secret Garden."
-
C.
Tessa
Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Adrianne
Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cb13ac81909dc364e7d3605844 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29428cec8190a20bea8fcae59d8f |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29ba3e1c8190987f22566a9ec806 |
completed | March 21, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2a489ec88190bbeb628b4903607c |
completed | March 21, 2026, 11:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.