Triple
T13705172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | שֵׁת |
E328620
|
entity |
| Predicate | אח של |
P363
|
FINISHED |
| Object | אנוש |
E112324
|
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: אנוש | Statement: [שֵׁת, אח של, אנוש]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: אנוש Context triple: [שֵׁת, אח של, אנוש]
-
A.
Manav
Manav is the central protagonist of the 1999 Hindi musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
B.
אָדָם
chosen
אָדָם is the Hebrew name for Adam, the first human in the Biblical creation narrative and a foundational figure in Jewish, Christian, and Islamic traditions.
-
C.
el Humano
El Humano is the sobriquet of King Martin I of Aragon, highlighting his reputation for justice and humane character during his late 14th- and early 15th-century reign.
-
D.
Anat
Anat is a prominent Canaanite war and fertility goddess known for her fierce martial prowess and protective role in the ancient Levantine pantheon.
-
E.
Mann
Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.