Triple
T19442095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman E. Thagard |
E486374
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Thagard |
—
|
NE NERFINISHED |
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: Thagard | Statement: [Norman E. Thagard, familyName, Thagard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thagard Context triple: [Norman E. Thagard, familyName, Thagard]
-
A.
Thagard
chosen
Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
-
B.
Yarshater
Yarshater is the surname of Ehsan Yarshater, a prominent Iranian historian and founding editor of the Encyclopaedia Iranica.
-
C.
Flandis
Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
-
D.
Thacker
Thacker is a surname most notably associated with Charles P. Thacker, a pioneering computer engineer and key figure in the development of modern personal computing.
-
E.
Drachman
Drachman is a Jewish family surname most notably associated with Bernard Drachman, an influential American Orthodox rabbi and scholar of the late 19th and early 20th centuries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63365343081908683c29f6c4c194b |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.