Triple
T16007115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abram |
E388246
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Avram |
E643
|
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: Avram | Statement: [Abram, hasCognate, Avram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avram Context triple: [Abram, hasCognate, Avram]
-
A.
Avram
chosen
Avram is the given first name of Noam Chomsky, the influential American linguist, philosopher, and political activist.
-
B.
Abram
Abram is a masculine given name of Hebrew origin, historically associated with the biblical patriarch later named Abraham.
-
C.
Abram
Abram is a village and civil parish in the Metropolitan Borough of Wigan in Greater Manchester, England.
-
D.
Abram
Abram is the middle name of James A. Garfield, the 20th president of the United States.
-
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 (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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15800246c8190a298c5f96478c396 |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbca65a4819090109589dba7f7a9 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.