Triple
T9923923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bat Masterson |
E187873
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Bat |
E187873
|
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: Bat | Statement: [Bat Masterson, nickname, Bat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bat Context triple: [Bat Masterson, nickname, Bat]
-
A.
Bat
chosen
Bat is a common nickname historically associated with the famed Old West lawman, gambler, and sportswriter Bat Masterson.
-
B.
Bat
Bat is the NATO reporting name for the Soviet World War II-era Tupolev Tu-2 twin-engine bomber aircraft.
-
C.
Battra
Battra is a dark, destructive counterpart to Mothra in the Godzilla franchise, depicted as a powerful moth-like kaiju often serving as an anti-heroic guardian of Earth.
-
D.
Bat Galim
Bat Galim is a coastal neighborhood in the city of Haifa, Israel, known for its beaches, promenade, and proximity to key transportation and medical centers.
-
E.
المقشقشة
المقشقشة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، لما فيها من تبرئة وتمييز بين المؤمنين والمنافقين.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59733188190900426e4e29ae5e3 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e0bdae08190acb94fe7d5471e4b |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:43 p.m.