Triple
T19648435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Erskine |
E471741
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maya |
—
|
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: Maya | Statement: [Maya Erskine, givenName, Maya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Context triple: [Maya Erskine, givenName, Maya]
-
A.
Maya
The Maya were an advanced Mesoamerican civilization known for their sophisticated writing system, monumental architecture, mathematics, and astronomy.
-
B.
Maya
chosen
Maya is a feminine given name used in various cultures, often associated with meanings such as "illusion" in Sanskrit, "water" in Hebrew, and "good mother" in Greek.
-
C.
Maya
Maya is the politically charged, genre-blending third studio album by British-Sri Lankan artist M.I.A., known for its abrasive electronic sound and commentary on digital surveillance and globalization.
-
D.
Maya
Maya was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II before being sunk in 1944.
-
E.
Maya
Maya is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines, known as a key jump-off point to nearby island destinations.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.