Triple
T9279288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Beesly |
E223028
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Dawn Tinsley |
E738163
|
NE FINISHED |
How this triple was built (2 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: [Pam Beesly, basedOn, Dawn Tinsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn Tinsley Context triple: [Pam Beesly, basedOn, Dawn Tinsley]
-
A.
Dawn Tinsley
chosen
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.
-
B.
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.
-
C.
Brenda Rawn
Brenda Rawn is known as the former spouse of Irish filmmaker and novelist Neil Jordan.
-
D.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
-
E.
Toni Marilyn Smith
Toni Marilyn Smith is the mother of American actor Paul Giamatti.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d1eaa8135081909225810ee5355bc3 |
completed | April 5, 2026, 4:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.