Triple
T11519461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Farrar |
E273122
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Stephanie Eitel
Stephanie Eitel is a musician best known as the wife of American bassist and producer Sam Farrar.
|
E963504
|
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: Stephanie Eitel | Statement: [Sam Farrar, spouse, Stephanie Eitel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Eitel Context triple: [Sam Farrar, spouse, Stephanie Eitel]
-
A.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
B.
Stephanie Huber
Stephanie Huber is a notable individual recognized as a bearer of the surname Huber.
-
C.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
D.
Stephanie Allain
Stephanie Allain is an American film producer known for championing diverse voices in cinema and backing influential independent films such as Hustle & Flow and Dear White People.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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: Stephanie Eitel Triple: [Sam Farrar, spouse, Stephanie Eitel]
Generated description
Stephanie Eitel is a musician best known as the wife of American bassist and producer Sam Farrar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephanie Eitel Target entity description: Stephanie Eitel is a musician best known as the wife of American bassist and producer Sam Farrar.
-
A.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
B.
Stephanie Huber
Stephanie Huber is a notable individual recognized as a bearer of the surname Huber.
-
C.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
D.
Stephanie Allain
Stephanie Allain is an American film producer known for championing diverse voices in cinema and backing influential independent films such as Hustle & Flow and Dear White People.
-
E.
Kirsten Fudeman
Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcf927081908ef89eff7ad833b0 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f631efb4819096ad6ee0c87fa7a7 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f5fe53d47c8190896a9abf8cc4bc31 |
completed | May 2, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5ffc563a08190b95db768df475a3a |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 8, 2026, 9:36 p.m.