Triple
T742453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herod the Great |
E15271
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Salome |
E66081
|
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: Salome | Statement: [Herod the Great, child, Salome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salome Context triple: [Herod the Great, child, Salome]
-
A.
Salome
chosen
Salome is a biblical and historical figure best known for her dance before Herod Antipas that led to the beheading of John the Baptist.
-
B.
La Goulue
La Goulue was the stage name of Louise Weber, a famous late-19th-century French can-can dancer at the Moulin Rouge and a popular subject of Toulouse-Lautrec’s posters.
-
C.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
D.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
-
E.
Judith
Judith is a deuterocanonical book of the Bible that tells the story of a courageous Jewish widow who saves her people by beheading the Assyrian general Holofernes.
- 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_69a64a63f9288190b86e4a75467acce0 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.