Triple
T15066196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Yowlachie |
E379761
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chief Yowlachie |
E379761
|
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: Chief Yowlachie | Statement: [Chief Yowlachie, name, Chief Yowlachie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chief Yowlachie Context triple: [Chief Yowlachie, name, Chief Yowlachie]
-
A.
Chief Yowlachie
chosen
Chief Yowlachie was a Native American actor and singer known for his roles in early 20th-century Hollywood films.
-
B.
Chief Napi
Chief Napi is a character based on a figure from Blackfoot mythology, depicted as a wise and powerful Native leader in the 2017 film "Wonder Woman."
-
C.
Chief Paw-Hiu-Skah
Chief Paw-Hiu-Skah was an Osage leader after whom the city of Pawhuska, Oklahoma, is named.
-
D.
Chief John Big Tree
Chief John Big Tree was a Native American actor of the early 20th century, known for his roles in numerous Hollywood Westerns and silent films.
-
E.
Chief Tannabok
Chief Tannabok is the jovial and trusting leader of the city of El Dorado in the animated film "The Road to El Dorado."
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cb04e88190a42bb0e516df61bc |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.