Triple
T8481921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demis Hassabis |
E200539
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Demis |
E200539
|
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: Demis | Statement: [Demis Hassabis, givenName, Demis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demis Context triple: [Demis Hassabis, givenName, Demis]
-
A.
Demis
chosen
Demis is the given name of Demis Hassabis, a prominent AI researcher and co-founder of DeepMind.
-
B.
Dami
Dami is a diminutive or affectionate short form of the given name Damian.
-
C.
Denio
Denio is a small unincorporated community in northern Nevada near the Oregon border, known for its remote high-desert setting and ranching heritage.
-
D.
Davo
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
-
E.
Desmers
Desmers is a surname variant of Demers, a French-origin family name found primarily in Francophone regions such as Quebec.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a2b2e9081909f19712946c6ec20 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.