Triple
T4217960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibbets |
E94266
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Tibbet |
E94266
|
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: Tibbet | Statement: [Tibbets, hasSpellingVariant, Tibbet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibbet Context triple: [Tibbets, hasSpellingVariant, Tibbet]
-
A.
Tibbets
chosen
Tibbets is the surname of Paul W. Tibbets Jr., the American Air Force brigadier general who piloted the Enola Gay during the atomic bombing of Hiroshima in World War II.
-
B.
Nepal
Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
-
C.
Bhutan
Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
-
D.
Alpa Chino
Alpa Chino is a fictional rapper-turned-actor character in the satirical war film "Tropic Thunder," known for his commercialized hip-hop persona and humorous product endorsements.
-
E.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34beb470481909ceff19195417f19 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5963d3bd8819086465701f4c6adf5 |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:04 p.m.