Triple
T15392626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Taylor |
E368085
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Ann Donahue |
E375503
|
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: Ann Donahue | Statement: [Mac Taylor, creator, Ann Donahue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Donahue Context triple: [Mac Taylor, creator, Ann Donahue]
-
A.
Ann Donahue
chosen
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
-
B.
Ann Donoghue
Ann Donoghue is best known as the wife of British entertainer Tommy Steele, a pioneering rock and roll singer and actor.
-
C.
Donna Dresch
Donna Dresch is an American musician and influential figure in the queercore punk scene, best known as the founder and bassist of the band Team Dresch.
-
D.
Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
E.
Ann Sweeny
Ann Sweeny is best known as the wife of acclaimed American television producer, director, and writer Gene Reynolds.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815e456ec8190986280b85fc017c7 |
completed | May 16, 2026, 6:59 a.m. |
Created at: April 10, 2026, 3:19 a.m.