Triple
T3949668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Moffat |
E84832
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moffat |
E304723
|
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: Moffat | Statement: [Steven Moffat, familyName, Moffat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moffat Context triple: [Steven Moffat, familyName, Moffat]
-
A.
Moffat
chosen
Moffat is a small spa town in Dumfries and Galloway, Scotland, historically known for its wool trade and as a popular tourist destination in the Southern Uplands.
-
B.
Tennant
Tennant is a British surname borne by various notable figures in the arts, sciences, and public life.
-
C.
Fosby
Fosby is a settlement that serves as the main local hub and seat of administration for the surrounding Aremark area in Norway.
-
D.
Ramsay
Ramsay is a Scottish-origin surname borne by numerous notable figures in British history, including military leaders, politicians, and artists.
-
E.
Nigel
Nigel is the villainous, vengeful cockatoo who serves as the primary antagonist in the animated film Rio 2.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef91227a8819097c3a5a206792382 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a4d3048190b63ad93a6ec87a48 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:30 p.m.