Triple
T19673807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მყინვარწვერი |
E472399
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object | Charles Tucker |
—
|
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: Charles Tucker | Statement: [მყინვარწვერი, firstAscentBy, Charles Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Tucker Context triple: [მყინვარწვერი, firstAscentBy, Charles Tucker]
-
A.
Charles Tucker
chosen
Charles Tucker was a 19th-century British mountaineer known for participating in the first recorded ascent of Mount Kazbek in the Caucasus.
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Nick Starr
Nick Starr is a British theatre producer and executive best known for co-founding and leading major London venues such as the Bridge Theatre.
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Cale Tucker
Cale Tucker is the young, reluctant hero of the animated science fiction film "Titan A.E.," who becomes central to humanity’s survival after Earth’s destruction.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416e19d881909248c4f778f7147a |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.