Triple
T2899180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginnifer Goodwin |
E62614
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ginnifer
Ginnifer is the distinctive first name of American actress Ginnifer Goodwin, known for roles in projects like "Once Upon a Time" and "Big Love."
|
E310691
|
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: Ginnifer | Statement: [Ginnifer Goodwin, givenName, Ginnifer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginnifer Context triple: [Ginnifer Goodwin, givenName, Ginnifer]
-
A.
Gina
Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
-
B.
Ginjer Buchanan
Ginjer Buchanan is an American science fiction and fantasy editor best known for her influential work at Ace Books and for winning the Hugo Award for Best Editor, Long Form.
-
C.
Greer Shephard
Greer Shephard is an American television producer and director best known for co-creating and producing acclaimed drama series such as Nip/Tuck and The Closer.
-
D.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
E.
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
- 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: Ginnifer Triple: [Ginnifer Goodwin, givenName, Ginnifer]
Generated description
Ginnifer is the distinctive first name of American actress Ginnifer Goodwin, known for roles in projects like "Once Upon a Time" and "Big Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginnifer Target entity description: Ginnifer is the distinctive first name of American actress Ginnifer Goodwin, known for roles in projects like "Once Upon a Time" and "Big Love."
-
A.
Gina
Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
-
B.
Ginjer Buchanan
Ginjer Buchanan is an American science fiction and fantasy editor best known for her influential work at Ace Books and for winning the Hugo Award for Best Editor, Long Form.
-
C.
Greer Shephard
Greer Shephard is an American television producer and director best known for co-creating and producing acclaimed drama series such as Nip/Tuck and The Closer.
-
D.
Rebecca Calhoun
Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
-
E.
Gillian
Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0ad7bbc8190822738baa6935b74 |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055fe13448190bf25832219fd5f0c |
completed | March 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69b062e280448190a494b6d3c119de7f |
completed | March 10, 2026, 6:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0633ee82c8190822a4b25a936add9 |
completed | March 10, 2026, 6:30 p.m. |
Created at: March 6, 2026, 10:10 p.m.