Triple
T17336933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Tibbets |
E420962
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrew Tibbets |
—
|
NE ONNED1 |
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: Andrew Tibbets | Statement: [Andrew Tibbets, name, Andrew Tibbets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Tibbets Context triple: [Andrew Tibbets, name, Andrew Tibbets]
-
A.
Andrew Tibbets
chosen
Andrew Tibbets is an individual notable enough to be specifically cited as a bearer of the surname Tibbets.
-
B.
Walter Tibbets
Walter Tibbets is an individual notable enough to be specifically cited as a bearer of the surname Tibbets.
-
C.
Wilfrid Kent Hughes
Wilfrid Kent Hughes was an Australian politician and sports administrator who played a leading role in organizing the 1956 Melbourne Olympic Games.
-
D.
Walter Tibbits
Walter Tibbits is a person known primarily as a notable bearer of the surname Tibbits.
-
E.
Orville Wingait
Orville Wingait is a comedic, hapless protagonist portrayed by Eddie Bracken in mid-20th-century American film.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a12e1288190a81c30d6e1e9652f |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019552a0208190bd8bd0f9588911c3 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.