Triple
T9784077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangas Coloradas |
E237447
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Dos-teh-seh
Dos-teh-seh was a Chiricahua Apache woman known primarily as the daughter of the prominent Apache leader Mangas Coloradas.
|
E822067
|
NE FINISHED |
How this triple was built (4 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: Dos-teh-seh | Statement: [Mangas Coloradas, child, Dos-teh-seh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dos-teh-seh Context triple: [Mangas Coloradas, child, Dos-teh-seh]
-
A.
Tse-ven
Tse-ven is the given name of T. V. Soong, a prominent Chinese politician and financier who served as a key economic and diplomatic figure for the Republic of China in the early 20th century.
-
B.
Waapakoneta
Waapakoneta is the Native American (likely Shawnee) settlement and name from which the modern city of Wapakoneta, Ohio, derives its origin.
-
C.
Toles
Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
-
D.
Miantonomo
Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
-
E.
Deshnoke
Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dos-teh-seh Triple: [Mangas Coloradas, child, Dos-teh-seh]
Generated description
Dos-teh-seh was a Chiricahua Apache woman known primarily as the daughter of the prominent Apache leader Mangas Coloradas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dos-teh-seh Target entity description: Dos-teh-seh was a Chiricahua Apache woman known primarily as the daughter of the prominent Apache leader Mangas Coloradas.
-
A.
Tse-ven
Tse-ven is the given name of T. V. Soong, a prominent Chinese politician and financier who served as a key economic and diplomatic figure for the Republic of China in the early 20th century.
-
B.
Waapakoneta
Waapakoneta is the Native American (likely Shawnee) settlement and name from which the modern city of Wapakoneta, Ohio, derives its origin.
-
C.
Toles
Toles is the surname of American political cartoonist Tom Toles, known for his sharp, liberal-leaning editorial cartoons.
-
D.
Miantonomo
Miantonomo was a prominent 17th-century Narragansett sachem known for his leadership in regional conflicts and diplomacy in New England.
-
E.
Deshnoke
Deshnoke is a small town in Rajasthan, India, best known for the Karni Mata Temple, where thousands of rats are revered and protected.
- F. None of above. chosen
Provenance (5 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b7740c8190bfb4997eb683d78a |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c41fc5508190a759cdda8416673a |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c53b888081908ecb01884f064b80 |
completed | April 5, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5a1cfb08190b6c16e5309dbf2b8 |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:27 p.m.