Triple
T8032670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Office (UK TV series) |
E187024
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Dawn Tinsley
Dawn Tinsley is the receptionist in the original UK version of "The Office," known for her unfulfilled artistic ambitions and complicated, slow-burning romance with Tim Canterbury.
|
E738163
|
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: Dawn Tinsley | Statement: [The Office (UK TV series), character, Dawn Tinsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn Tinsley Context triple: [The Office (UK TV series), character, Dawn Tinsley]
-
A.
Dawn Robinson
Dawn Robinson is an American R&B and soul singer best known as a former member of En Vogue and later as a vocalist in the supergroup Lucy Pearl.
-
B.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
-
C.
Toni Marilyn Smith
Toni Marilyn Smith is the mother of American actor Paul Giamatti.
-
D.
Dawn Freeman
Dawn Freeman is known as the wife of late American heavyweight boxer and former WBO champion Tommy Morrison.
-
E.
Deanna Dunagan
Deanna Dunagan is an American actress best known for her Tony Award–winning performance in the Broadway play "August: Osage County" and for her role in the horror film "The Visit."
- 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: Dawn Tinsley Triple: [The Office (UK TV series), character, Dawn Tinsley]
Generated description
Dawn Tinsley is the receptionist in the original UK version of "The Office," known for her unfulfilled artistic ambitions and complicated, slow-burning romance with Tim Canterbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dawn Tinsley Target entity description: Dawn Tinsley is the receptionist in the original UK version of "The Office," known for her unfulfilled artistic ambitions and complicated, slow-burning romance with Tim Canterbury.
-
A.
Dawn Robinson
Dawn Robinson is an American R&B and soul singer best known as a former member of En Vogue and later as a vocalist in the supergroup Lucy Pearl.
-
B.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
-
C.
Toni Marilyn Smith
Toni Marilyn Smith is the mother of American actor Paul Giamatti.
-
D.
Dawn Freeman
Dawn Freeman is known as the wife of late American heavyweight boxer and former WBO champion Tommy Morrison.
-
E.
Deanna Dunagan
Deanna Dunagan is an American actress best known for her Tony Award–winning performance in the Broadway play "August: Osage County" and for her role in the horror film "The Visit."
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef18da48190835454a5eb969da7 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d5b80b48190909ca7775fda2ed9 |
completed | April 2, 2026, 11:04 a.m. |
| NEDg | Description generation | batch_69ce4f556a408190b404481a32b2457b |
completed | April 2, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce503737a4819083ebf9f410eac826 |
completed | April 2, 2026, 11:17 a.m. |
Created at: March 30, 2026, 5:22 p.m.