Triple
T9279589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toby Flenderson |
E223034
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sasha Flenderson
Sasha Flenderson is the young daughter of HR representative Toby Flenderson on the American television series "The Office."
|
E789281
|
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: Sasha Flenderson | Statement: [Toby Flenderson, hasChild, Sasha Flenderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasha Flenderson Context triple: [Toby Flenderson, hasChild, Sasha Flenderson]
-
A.
Sasha Alexander
Sasha Alexander is an American actress best known for her television roles on series such as NCIS and Rizzoli & Isles.
-
B.
Sasha Barrese
Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
-
C.
Sasha Czack
Sasha Czack is an American photographer, director, and actress best known as the first wife of actor Sylvester Stallone.
-
D.
Emiley Zalesky
Emiley Zalesky is known as the wife of American conductor Keith Lockhart, longtime music director of the Boston Pops Orchestra.
-
E.
Makenzy Doniak
Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
- 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: Sasha Flenderson Triple: [Toby Flenderson, hasChild, Sasha Flenderson]
Generated description
Sasha Flenderson is the young daughter of HR representative Toby Flenderson on the American television series "The Office."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sasha Flenderson Target entity description: Sasha Flenderson is the young daughter of HR representative Toby Flenderson on the American television series "The Office."
-
A.
Sasha Alexander
Sasha Alexander is an American actress best known for her television roles on series such as NCIS and Rizzoli & Isles.
-
B.
Sasha Barrese
Sasha Barrese is an American actress best known for playing Doug’s fiancée Tracy in the comedy film "The Hangover" and its sequels.
-
C.
Sasha Czack
Sasha Czack is an American photographer, director, and actress best known as the first wife of actor Sylvester Stallone.
-
D.
Emiley Zalesky
Emiley Zalesky is known as the wife of American conductor Keith Lockhart, longtime music director of the Boston Pops Orchestra.
-
E.
Makenzy Doniak
Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cc79508190954defbef0d82a64 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1fef1508190a9bf1a55dd39c0ac |
completed | April 4, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69d0b2e45674819091c7e1102c8844a5 |
completed | April 4, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b36590088190a92401d5f6c4c947 |
completed | April 4, 2026, 6:44 a.m. |
Created at: March 30, 2026, 7:34 p.m.