Triple
T10498425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Flucker |
E247603
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Flucker |
E867231
|
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: Flucker | Statement: [Lucy Flucker, familyName, Flucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flucker Context triple: [Lucy Flucker, familyName, Flucker]
-
A.
Flucker
chosen
Flucker is the surname of Lucy Flucker Knox, the American Revolutionary War-era figure and wife of Continental Army General Henry Knox.
-
B.
Flick
Flick is a German football manager and former player best known for coaching the German national team and leading Bayern Munich to a historic sextuple in 2020.
-
C.
Flick
Flick is one of the basic movement actions in Laban effort theory, characterized by quick, light, and sudden motion.
-
D.
Fleck
Fleck is the surname of Ludwik Fleck, a Polish microbiologist and philosopher of science known for his pioneering work on the sociology of scientific knowledge.
-
E.
Flack
Flack is a darkly comedic British drama series about a sharp-tongued American PR executive in London who cleans up celebrity scandals while her own life unravels.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098e45ec8190a02b981a06786909 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90ddbbb3c8190873e8e3c27039b16 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:25 p.m.