Triple
T9392568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Eyes Cody |
E226058
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Bertha Parker
Bertha Parker was a pioneering Native American archaeologist and actress, often cited as one of the first female Native American archaeologists in the United States.
|
E797154
|
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: Bertha Parker | Statement: [Iron Eyes Cody, spouse, Bertha Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bertha Parker Context triple: [Iron Eyes Cody, spouse, Bertha Parker]
-
A.
Bertha Perkins
Bertha Perkins is one of the daughters of renowned American book editor Maxwell Perkins.
-
B.
Bertha Fort
Bertha Fort was the wife of American politician and former New Jersey Governor J. Franklin Fort.
-
C.
Ethel Parker
Ethel Parker was the wife of influential British town planner and architect Raymond Unwin, associated with the early garden city movement.
-
D.
Bertha
Bertha is a feminine given name of Germanic origin, historically associated with meanings like "bright" or "famous."
-
E.
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").
- 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: Bertha Parker Triple: [Iron Eyes Cody, spouse, Bertha Parker]
Generated description
Bertha Parker was a pioneering Native American archaeologist and actress, often cited as one of the first female Native American archaeologists in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bertha Parker Target entity description: Bertha Parker was a pioneering Native American archaeologist and actress, often cited as one of the first female Native American archaeologists in the United States.
-
A.
Bertha Perkins
Bertha Perkins is one of the daughters of renowned American book editor Maxwell Perkins.
-
B.
Bertha Fort
Bertha Fort was the wife of American politician and former New Jersey Governor J. Franklin Fort.
-
C.
Ethel Parker
Ethel Parker was the wife of influential British town planner and architect Raymond Unwin, associated with the early garden city movement.
-
D.
Bertha
Bertha is a feminine given name of Germanic origin, historically associated with meanings like "bright" or "famous."
-
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. 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510fec6481908b51c497744068c8 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1079272c88190b9c44f25e834f9ef |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1082f41b48190b8588bb986028f59 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108bab8c881909748ffbb4b23f4ba |
completed | April 4, 2026, 12:48 p.m. |
Created at: March 30, 2026, 7:45 p.m.