Triple
T18647291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Stick faction of the Creek |
E455834
|
entity |
| Predicate | leader |
P981
|
FINISHED |
| Object | Menawa |
—
|
NE NERFINISHED |
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: Menawa | Statement: [Red Stick faction of the Creek, leader, Menawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menawa Context triple: [Red Stick faction of the Creek, leader, Menawa]
-
A.
Menawa
chosen
Menawa was a prominent Creek (Muscogee) leader and war chief who played a key role in resisting U.S. expansion during the early 19th century.
-
B.
Maasin
Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
-
C.
Maimana
Maimana is a key urban center and provincial capital in northern Afghanistan, known for its role in regional trade and agriculture.
-
D.
Moru
Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
-
E.
Menjou
Menjou is a French-origin surname most notably associated with the American actor Adolphe Menjou, a prominent Hollywood star of the early to mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.