Triple
T3352903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katonah, New York |
E70537
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Chief Katonah
Chief Katonah was a Native American leader of the Lenape people whose name is preserved in the town of Katonah, New York.
|
E352043
|
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: Chief Katonah | Statement: [Katonah, New York, namedAfter, Chief Katonah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chief Katonah Context triple: [Katonah, New York, namedAfter, Chief Katonah]
-
A.
Chief Elgin
Chief Elgin is a central character in the film "Three Kings," serving as a key figure around whom much of the story’s conflict and moral tension revolves.
-
B.
Chief Neharawa
Chief Neharawa was a local Shona leader after whom Zimbabwe’s capital city, Harare, is named.
-
C.
Chief Pleas
Chief Pleas is the parliament and legislative assembly of the Channel Island of Sark, responsible for making its laws and overseeing local governance.
-
D.
Chief Ignatius Petosega
Chief Ignatius Petosega was an Odawa (Ottawa) leader and prominent 19th-century figure in northern Michigan whose legacy is commemorated in the naming of the city of Petoskey.
-
E.
Chief Bogo
Chief Bogo is a stern, no-nonsense Cape buffalo who serves as the chief of police in Disney's animated film "Zootopia."
- 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: Chief Katonah Triple: [Katonah, New York, namedAfter, Chief Katonah]
Generated description
Chief Katonah was a Native American leader of the Lenape people whose name is preserved in the town of Katonah, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chief Katonah Target entity description: Chief Katonah was a Native American leader of the Lenape people whose name is preserved in the town of Katonah, New York.
-
A.
Chief Elgin
Chief Elgin is a central character in the film "Three Kings," serving as a key figure around whom much of the story’s conflict and moral tension revolves.
-
B.
Chief Neharawa
Chief Neharawa was a local Shona leader after whom Zimbabwe’s capital city, Harare, is named.
-
C.
Chief Pleas
Chief Pleas is the parliament and legislative assembly of the Channel Island of Sark, responsible for making its laws and overseeing local governance.
-
D.
Chief Ignatius Petosega
Chief Ignatius Petosega was an Odawa (Ottawa) leader and prominent 19th-century figure in northern Michigan whose legacy is commemorated in the naming of the city of Petoskey.
-
E.
Chief Bogo
Chief Bogo is a stern, no-nonsense Cape buffalo who serves as the chief of police in Disney's animated film "Zootopia."
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb23ec53881908a04c7f784fe8c43 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32532ebd08190bf174d72fba89a75 |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b328f5e6ac8190935f88e2b7307147 |
completed | March 12, 2026, 8:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b32ca6aa4481908b044b07b6d2e529 |
completed | March 12, 2026, 9:14 p.m. |
Created at: March 8, 2026, 3:13 p.m.