Triple
T6966445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxie Roker |
E161500
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Roxie
Roxie is the given name of Roxie Roker, an American actress best known for her role as Helen Willis on the television sitcom "The Jeffersons."
|
E631702
|
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: Roxie | Statement: [Roxie Roker, givenName, Roxie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxie Context triple: [Roxie Roker, givenName, Roxie]
-
A.
Patsy
Patsy is a given name commonly used as a diminutive of Patrick or Patricia in English-speaking contexts.
-
B.
Edie
Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
-
C.
Rhoda
Rhoda is an American television sitcom centered on the character Rhoda Morgenstern, a spin-off from the acclaimed series "The Mary Tyler Moore Show."
-
D.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
E.
Judy
Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
- 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: Roxie Triple: [Roxie Roker, givenName, Roxie]
Generated description
Roxie is the given name of Roxie Roker, an American actress best known for her role as Helen Willis on the television sitcom "The Jeffersons."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roxie Target entity description: Roxie is the given name of Roxie Roker, an American actress best known for her role as Helen Willis on the television sitcom "The Jeffersons."
-
A.
Patsy
Patsy is a given name commonly used as a diminutive of Patrick or Patricia in English-speaking contexts.
-
B.
Edie
Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
-
C.
Rhoda
Rhoda is an American television sitcom centered on the character Rhoda Morgenstern, a spin-off from the acclaimed series "The Mary Tyler Moore Show."
-
D.
Judy
"Judy" is a 2019 biographical drama film in which Renée Zellweger portrays legendary entertainer Judy Garland during her final years, a role that earned her widespread acclaim and major acting awards.
-
E.
Judy
Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db121174819098e73e45f6c9cc91 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758a57b8481908cef7de9b3abf7a3 |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c75afc74a88190b87284b9a07e8abb |
completed | March 28, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75ba456ec81908bd3ab9ade1954d4 |
completed | March 28, 2026, 4:40 a.m. |
Created at: March 27, 2026, 2:30 p.m.