Triple
T17337004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tebald |
E420966
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Tibbets |
—
|
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: Tibbets | Statement: [Tebald, hasShortForm, Tibbets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibbets Context triple: [Tebald, hasShortForm, Tibbets]
-
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.
Tibú
Tibú is a Colombian town and municipality in the Norte de Santander Department, located near the border with Venezuela and known for its role in the oil industry and regional conflict dynamics.
-
C.
Phalba
Phalba is an unincorporated rural community located in Van Zandt County in northeastern Texas, United States.
-
D.
Monpa
Monpa are an indigenous ethnic group of the eastern Himalayas, primarily inhabiting the Tawang and West Kameng regions, known for their Tibetan Buddhist culture, traditional crafts, and high-altitude agrarian lifestyle.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a12e1288190a81c30d6e1e9652f |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.