Triple
T13222983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell Balata |
E314800
|
entity |
| Predicate | associatedWithBiblicalFigure |
P3890
|
FINISHED |
| Object | Jacob |
E608167
|
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: Jacob | Statement: [Tell Balata, associatedWithBiblicalFigure, Jacob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Context triple: [Tell Balata, associatedWithBiblicalFigure, Jacob]
-
A.
Jacob
Jacob is the first name of Jake Peavy, a former Major League Baseball pitcher and Cy Young Award winner.
-
B.
Jacob
Jacob is the middle name of English actor Daniel Radcliffe, best known for portraying Harry Potter in the film series based on J.K. Rowling's novels.
-
C.
Jacob
Jacob is the family name of Piers Anthony, the prolific British-American fantasy and science fiction author best known for his long-running Xanth series.
-
D.
Jacob
chosen
Jacob is a male given name of Hebrew origin commonly used in many English-speaking and international cultures.
-
E.
Jacob
Jacob is the birth name of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:19 p.m.