Triple
T1312312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda |
E28018
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Melinda |
E100758
|
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: Melinda | Statement: [Linda, hasRelatedName, Melinda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melinda Context triple: [Linda, hasRelatedName, Melinda]
-
A.
Melinda
chosen
Melinda is the first name of Melinda French Gates, an American philanthropist and co-founder of the Bill & Melinda Gates Foundation.
-
B.
Linda
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
-
C.
Megan
Megan is the full first name of Meg Griffin, the often-mocked teenage daughter character from the animated television series "Family Guy."
-
D.
Marcia
Marcia was the mother of the Roman emperor Trajan and a member of the provincial Roman aristocracy in Hispania.
-
E.
Amanda
Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1572b1c8190ab978198c2d655c8 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace55f2c288190b8315794b11a7e65 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:55 p.m.