Triple
T1942135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachael MacFarlane |
E41578
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | MacFarlane |
E1118
|
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: MacFarlane | Statement: [Rachael MacFarlane, familyName, MacFarlane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacFarlane Context triple: [Rachael MacFarlane, familyName, MacFarlane]
-
A.
Seth MacFarlane
chosen
Seth MacFarlane is an American writer, animator, actor, and producer best known as the creator of the animated television series "Family Guy" and co-creator of "American Dad!" and "The Orville."
-
B.
McReynolds
McReynolds is a Scottish-origin surname borne by various notable figures in American public life, including politicians and jurists.
-
C.
Flynt
Flynt is the middle name of William Flynt Nichols, an American politician who served as a U.S. Representative from Alabama.
-
D.
Farley
Farley is a rural-residential suburb in the Maitland region of New South Wales, Australia.
-
E.
Farley
Farley is a surname most notably associated with Jim Farley, an American business executive and CEO of Ford Motor Company.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2fc98e881909a539c0ebf842d8b |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb7616881908bfc82997538ca08 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.