Triple
T13638087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El |
E325902
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Mot |
E196864
|
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: Mot | Statement: [El, offspring, Mot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mot Context triple: [El, offspring, Mot]
-
A.
Mot
chosen
Mot is the Phoenician god of death and the underworld, associated with sterility, drought, and the cyclical struggle against life-giving deities.
-
B.
Mal
Mal is a common shortened form of the given name Malcolm.
-
C.
Mart
Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
-
D.
Mul
Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
-
E.
Mus
Mus is the cognomen of the Roman family line to which the consul Publius Decius Mus of 279 BCE belonged, associated with a notable lineage of Republican military leaders.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a84cc4819098a975e33250c89b |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af297008190b12256c936714213 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.