Triple
T3466131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darug people |
E73140
|
entity |
| Predicate | hasNotableIndividual |
P304
|
FINISHED |
| Object |
Colebee
Colebee was a prominent Darug man from early colonial New South Wales, known for his role as a leader and intermediary between Aboriginal people and British settlers.
|
E358273
|
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: Colebee | Statement: [Darug people, hasNotableIndividual, Colebee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colebee Context triple: [Darug people, hasNotableIndividual, Colebee]
-
A.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
-
B.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
C.
Nitze
Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
-
D.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
E.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
- 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: Colebee Triple: [Darug people, hasNotableIndividual, Colebee]
Generated description
Colebee was a prominent Darug man from early colonial New South Wales, known for his role as a leader and intermediary between Aboriginal people and British settlers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colebee Target entity description: Colebee was a prominent Darug man from early colonial New South Wales, known for his role as a leader and intermediary between Aboriginal people and British settlers.
-
A.
Bayard
Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
-
B.
Bayard
Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
-
C.
Nitze
Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
-
D.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
E.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0f2d3881908a5fa871341564ed |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361284b5c81909e7fccc4fcf294b7 |
completed | March 13, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69b361792874819088fa77b860fb9ce6 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36211b6b08190ac0cac646160495d |
completed | March 13, 2026, 1:02 a.m. |
Created at: March 8, 2026, 3:17 p.m.