Triple
T3785619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Henry Tate |
E85522
|
entity |
| Predicate | businessPartner |
P282
|
FINISHED |
| Object |
William Tate
William Tate was a British businessman known for his partnership with sugar magnate Sir Henry Tate in the 19th-century sugar industry.
|
E387906
|
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: William Tate | Statement: [Sir Henry Tate, businessPartner, William Tate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Tate Context triple: [Sir Henry Tate, businessPartner, William Tate]
-
A.
Fred Tate
Fred Tate is a child prodigy whose extraordinary intellectual abilities and emotional struggles are central to the drama film "Little Man Tate."
-
B.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
-
C.
Orlando Murden
Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
-
D.
Jack Cates
Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
-
E.
Basil Wallace
Basil Wallace is a character actor known for his supporting roles in films and television, including an appearance in the political war thriller "Blood Diamond."
- 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: William Tate Triple: [Sir Henry Tate, businessPartner, William Tate]
Generated description
William Tate was a British businessman known for his partnership with sugar magnate Sir Henry Tate in the 19th-century sugar industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Tate Target entity description: William Tate was a British businessman known for his partnership with sugar magnate Sir Henry Tate in the 19th-century sugar industry.
-
A.
Fred Tate
Fred Tate is a child prodigy whose extraordinary intellectual abilities and emotional struggles are central to the drama film "Little Man Tate."
-
B.
Henry Tucker
Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
-
C.
Orlando Murden
Orlando Murden was an American songwriter best known for co-writing the classic soul ballad "For Once in My Life."
-
D.
Jack Cates
Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
-
E.
Basil Wallace
Basil Wallace is a character actor known for his supporting roles in films and television, including an appearance in the political war thriller "Blood Diamond."
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42d2bc88190ab85529fcd1aa20a |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04a35448190a57f431ef703b1e1 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f159d7e88190a76d51378ba141d3 |
completed | March 14, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f220f9388190b2c3615f713f01f2 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 9, 2026, 3:13 p.m.