Triple
T13779401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Collar |
E331094
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Sara Ellis
Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
|
E1070101
|
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: Sara Ellis | Statement: [White Collar, character, Sara Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Ellis Context triple: [White Collar, character, Sara Ellis]
-
A.
Sara Samuels
Sara Samuels is the central character in the "Black Mirror" episode "Arkangel," a young girl whose life is tightly controlled and surveilled through experimental parental technology.
-
B.
Sara Hess
Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
-
C.
Sara Rose Wright
Sara Rose Wright is known for being the former wife of Tré Cool, the drummer of the American punk rock band Green Day.
-
D.
Sara Braun
Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
-
E.
Sara Allgood
Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
- 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: Sara Ellis Triple: [White Collar, character, Sara Ellis]
Generated description
Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Ellis Target entity description: Sara Ellis is a savvy insurance investigator and Neal Caffrey’s complex love interest in the television series "White Collar."
-
A.
Sara Samuels
Sara Samuels is the central character in the "Black Mirror" episode "Arkangel," a young girl whose life is tightly controlled and surveilled through experimental parental technology.
-
B.
Sara Hess
Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
-
C.
Sara Rose Wright
Sara Rose Wright is known for being the former wife of Tré Cool, the drummer of the American punk rock band Green Day.
-
D.
Sara Braun
Sara Braun was a prominent late 19th- and early 20th-century businesswoman and philanthropist in Chilean Patagonia, known for her influential role in regional development and society.
-
E.
Sara Allgood
Sara Allgood was an Irish stage and film actress known for her character roles in early 20th-century theatre and classic Hollywood cinema.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce667c248190a9d0a0f1e9e228ae |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 9, 2026, 10:11 p.m.