Triple
T15794009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Thought |
E382928
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Deep Blue |
E382927
|
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: Deep Blue | Statement: [Deep Thought, successor, Deep Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Blue Context triple: [Deep Thought, successor, Deep Blue]
-
A.
Deep Blue
chosen
Deep Blue was IBM's pioneering chess-playing supercomputer that famously defeated world champion Garry Kasparov in 1997, marking a milestone in artificial intelligence.
-
B.
Deep Blue
Deep Blue is a 2003 British nature documentary film, co-directed by Alastair Fothergill, that explores the world's oceans using spectacular underwater cinematography.
-
C.
The Deep Blue Good-by
The Deep Blue Good-by is a 1964 crime novel by John D. MacDonald that introduces Florida-based salvage consultant and reluctant hero Travis McGee in a hardboiled, psychologically driven mystery.
-
D.
Naum
Naum is a given name most notably borne by the pioneering Constructivist sculptor Naum Gabo.
-
E.
Watson
Watson is a residential suburb in Canberra, Australia, known for its proximity to natural reserves and easy access to the city’s northeastern bushland.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4db55308190875a04f982c44cea |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998981088190b9ce9d99c0481e21 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.