Triple
T19078273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stories of Abraham |
E466958
|
entity |
| Predicate | hasEpisode |
P6968
|
FINISHED |
| Object | Abram in Egypt |
—
|
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: Abram in Egypt | Statement: [Stories of Abraham, hasEpisode, Abram in Egypt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abram in Egypt Context triple: [Stories of Abraham, hasEpisode, Abram in Egypt]
-
A.
Abram
chosen
Abram is a masculine given name of Hebrew origin, historically associated with the biblical patriarch later named Abraham.
-
B.
Abram
Abram is a village and civil parish in the Metropolitan Borough of Wigan in Greater Manchester, England.
-
C.
Abram
Abram is the middle name of James A. Garfield, the 20th president of the United States.
-
D.
Israel in Egypt
"Israel in Egypt" is a 1739 oratorio by George Frideric Handel, renowned for its dramatic choral writing depicting the biblical Exodus story.
-
E.
Abraham
Abraham is the given first name of Abraham Washington Attell, better known as Abe Attell, a prominent early 20th-century American professional boxer and featherweight champion.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e61b60819092d42614f04a087c |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.