Triple
T6601317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Generation Investment Management |
E149004
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | David Blood |
E601705
|
NE FINISHED |
How this triple was built (2 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: David Blood | Statement: [Generation Investment Management, coFounder, David Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Blood Context triple: [Generation Investment Management, coFounder, David Blood]
-
A.
David Blood
chosen
David Blood is an American financier and co-founder of Generation Investment Management, known for championing sustainable and long-term investing.
-
B.
Eric Draven
Eric Draven is the vengeful, resurrected rock musician and antihero from the dark fantasy film and comic series "The Crow."
-
C.
Julio Sanguily
Julio Sanguily was a Cuban military leader and independence fighter known for his prominent role in the wars against Spanish colonial rule in the late 19th century.
-
D.
Manuel Sanguily
Manuel Sanguily was a prominent Cuban lawyer, politician, and revolutionary leader known for his role in Cuba’s struggle for independence from Spain.
-
E.
Robert Barrat
Robert Barrat was an American character actor known for his supporting roles in numerous Hollywood films from the 1930s through the 1950s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aef4a7e08190a685a0febc6378c8 |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e434afd08190807faf0069c70cce |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:56 p.m.