Triple
T15162605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Steel Olcott |
E362255
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Olcott
Olcott is a surname most notably associated with Henry Steel Olcott, an American military officer, lawyer, and co-founder of the Theosophical Society.
|
E1139817
|
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: Olcott | Statement: [Henry Steel Olcott, familyName, Olcott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olcott Context triple: [Henry Steel Olcott, familyName, Olcott]
-
A.
Monessen
Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
-
B.
Ambler
Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
-
C.
Cresson
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
-
D.
Seward, Pennsylvania
Seward, Pennsylvania is a small borough in Westmoreland County situated within the scenic Ligonier Valley region of the state.
-
E.
Beaver Falls
Beaver Falls is a small industrial city in western Pennsylvania known historically for its manufacturing base and location along the Beaver River.
- 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: Olcott Triple: [Henry Steel Olcott, familyName, Olcott]
Generated description
Olcott is a surname most notably associated with Henry Steel Olcott, an American military officer, lawyer, and co-founder of the Theosophical Society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olcott Target entity description: Olcott is a surname most notably associated with Henry Steel Olcott, an American military officer, lawyer, and co-founder of the Theosophical Society.
-
A.
Monessen
Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
-
B.
Ambler
Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
-
C.
Cresson
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
-
D.
Seward, Pennsylvania
Seward, Pennsylvania is a small borough in Westmoreland County situated within the scenic Ligonier Valley region of the state.
-
E.
Beaver Falls
Beaver Falls is a series of striking turquoise-blue waterfalls and pools along Havasu Creek in the Grand Canyon, renowned for their scenic beauty and popularity among hikers visiting Havasupai lands.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febffc94e48190844e226c245a9ce3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec1b27c5c8190b3b81cd10b11e973 |
completed | May 9, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec24105a48190a698de2b380f4dbc |
completed | May 9, 2026, 5:12 a.m. |
Created at: April 10, 2026, 3:08 a.m.