Triple
T9634393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Definition of Standard ML |
E232891
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | MLton |
E807595
|
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: MLton | Statement: [The Definition of Standard ML, influenced, MLton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLton Context triple: [The Definition of Standard ML, influenced, MLton]
-
A.
MLton
chosen
MLton is a whole-program optimizing compiler for the Standard ML programming language, known for its aggressive optimizations and high-performance native code generation.
-
B.
MLT
MLT is the three-letter ISO 3166-1 alpha-3 country code assigned to Malta.
-
C.
Tirora
Tirora is a town in the Gondia district of Maharashtra, India, known for its agricultural surroundings and regional commercial activity.
-
D.
Talbo
Talbo is the surname of Dolly Talbo, a character whose last name identifies her within her fictional or narrative family lineage.
-
E.
Merkle
Merkle is a surname most prominently associated with Ralph Merkle, a pioneering computer scientist and cryptographer known for his foundational work in public-key cryptography and Merkle trees.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b2a0e2c8190ab5aaa223b1e1cde |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18237e2608190a3e7d45231a35efd |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:11 p.m.