Triple
T6561415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodman–Martínez–Thompson correlation |
E153789
|
entity |
| Predicate | isMostWidelyAcceptedBy |
P27075
|
FINISHED |
| Object | Maya epigraphers |
—
|
LITERAL 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: Maya epigraphers | Statement: [Goodman–Martínez–Thompson correlation, isMostWidelyAcceptedBy, Maya epigraphers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostWidelyAcceptedBy Context triple: [Goodman–Martínez–Thompson correlation, isMostWidelyAcceptedBy, Maya epigraphers]
-
A.
isWidelyUsed
Indicates that something is commonly or extensively utilized across many contexts, users, or situations.
-
B.
isWidelyKnown
Indicates that something is generally recognized or familiar to a large number of people.
-
C.
becameStandardFor
chosen
Indicates that something was adopted and established as the usual or accepted norm for a particular purpose, context, or group.
-
D.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
E.
isFormallyAcceptedVersionOf
Indicates that one entity is the officially recognized or approved version of another, often superseding or formalizing an earlier or informal form.
- F. None of above.
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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:52 p.m.