Triple
T742236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribe of Judah |
E15267
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Lion of Judah |
E26570
|
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: Lion of Judah | Statement: [Tribe of Judah, epithet, Lion of Judah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lion of Judah Context triple: [Tribe of Judah, epithet, Lion of Judah]
-
A.
Lion of Judah
chosen
The Lion of Judah is a biblical title for Jesus Christ that emphasizes his royal authority, strength, and messianic role as the victorious ruler from the tribe of Judah.
-
B.
Moses the Black
Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
-
C.
Ras Dashen
Ras Dashen is a prominent mountain peak in northern Ethiopia, renowned as the country’s highest summit and a key feature of the Simien Mountains.
-
D.
Jebus
Jebus is the ancient Canaanite name for the city later known as Jerusalem.
-
E.
Leo the Lion
Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60e286c81908787a41cf9b9f150 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654e40b9c8190ab4314e63826d00a |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:37 p.m.