Triple
T12690387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha E. Rogers |
E303188
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Martha |
E49016
|
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: Martha | Statement: [Martha E. Rogers, givenName, Martha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Context triple: [Martha E. Rogers, givenName, Martha]
-
A.
Martha
chosen
Martha is a feminine given name of Aramaic origin, historically borne by notable figures such as Martha Washington, the first First Lady of the United States.
-
B.
Martha Black
Martha Black was a pioneering Canadian politician and naturalist, known as one of the first women elected to the Canadian Parliament and for her influential role in Yukon public life.
-
C.
Bertha
Bertha is a feminine given name of Germanic origin, historically associated with meanings like "bright" or "famous."
-
D.
Bertha
"Bertha" is a popular live staple and fan-favorite rock song by the Grateful Dead, first released on their 1971 self-titled live album (often called "Skull and Roses").
-
E.
Bertha
Bertha was a daughter of Charlemagne, the Frankish king and emperor who united much of Western Europe during the early Middle Ages.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671acbd5c8190ad8d1d2f18868369 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:22 p.m.