Triple
T23358921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stu Ungar |
E593129
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Stu |
—
|
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: Stu | Statement: [Stu Ungar, nickname, Stu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Context triple: [Stu Ungar, nickname, Stu]
-
A.
Stu
chosen
Stu is the nickname of Stuart A. Roosa, the American astronaut who served as Command Module Pilot on the Apollo 14 mission to the Moon.
-
B.
STU
STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
-
C.
Stuvsta
Stuvsta is a residential district and commuter suburb in the southern Stockholm area of Sweden, known for its villas, local center, and good rail connections to central Stockholm.
-
D.
Stan
Stan is a fast-talking, over-the-top used-boat and later used-coffin salesman known for his loud jacket and relentless sales pitches in the Monkey Island adventure game series.
-
E.
Stan
Stan is a masculine given name, often a short form of names like Stanley or Stanislav, used in various English-speaking and Slavic countries.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:29 p.m.