Triple
T14416672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mare Sheehan |
E357470
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Mare |
E975314
|
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: Mare | Statement: [Mare Sheehan, nickname, Mare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mare Context triple: [Mare Sheehan, nickname, Mare]
-
A.
Mare
Mare is an Austronesian language spoken primarily on Maré Island in New Caledonia, also known as the Nengone language.
-
B.
Mare
chosen
Mare is the nickname of American actress and singer-songwriter Mare Winningham, known for her work in film, television, and theater.
-
C.
Mare Internum
Mare Internum is the ancient Roman name for the Mediterranean Sea, the central body of water around which much of classical civilization developed.
-
D.
Mare Insularum
Mare Insularum is a lunar mare, or basaltic plain, on the Moon’s near side, formed by ancient volcanic activity and located near prominent craters such as Copernicus.
-
E.
Mare Tranquillitatis
Mare Tranquillitatis is a lunar mare on the Moon’s near side, best known as the site of Apollo 11’s first crewed Moon landing.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552bc32c81908a562732e3950442 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.