Triple
T387352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emanuel School |
E8806
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object |
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
|
E53459
|
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: Lennox Cato | Statement: [Emanuel School, hasNotableAlumnus, Lennox Cato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennox Cato Context triple: [Emanuel School, hasNotableAlumnus, Lennox Cato]
-
A.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
B.
Roderick
Roderick is the full given name of Rod Langway, a Hall of Fame former professional ice hockey defenseman best known for his time with the Washington Capitals.
-
C.
Julian Burnside
Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
-
D.
Cecil
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
E.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
- 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: Lennox Cato Triple: [Emanuel School, hasNotableAlumnus, Lennox Cato]
Generated description
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lennox Cato Target entity description: Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
-
A.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
B.
Roderick
Roderick is the full given name of Rod Langway, a Hall of Fame former professional ice hockey defenseman best known for his time with the Washington Capitals.
-
C.
Julian Burnside
Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
-
D.
Cecil
Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
-
E.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5828d881909e8810061c02480c |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4253ec4d48190bdaaf385c9a8e4a9 |
completed | March 1, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_69a42919a09c819094b41c333bb1aa2e |
completed | March 1, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4296cb3f48190b56227620ce5ce59 |
completed | March 1, 2026, 11:56 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.