Triple
T15264056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The DAO hack |
E364853
|
entity |
| Predicate | target |
P860
|
FINISHED |
| Object | The DAO |
E364853
|
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: The DAO | Statement: [The DAO hack, target, The DAO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The DAO Context triple: [The DAO hack, target, The DAO]
-
A.
The DAO hack
chosen
The DAO hack was a 2016 exploit of a major Ethereum-based investment fund smart contract that led to the theft of millions of ether and ultimately prompted a controversial hard fork of the Ethereum blockchain.
-
B.
DAOO
DAOO is the ICAO airport code assigned to Oran Ahmed Ben Bella Airport in Oran, Algeria.
-
C.
The Merge
The Merge was Ethereum’s landmark transition from proof-of-work to proof-of-stake consensus, fundamentally altering its security model, energy usage, and ETH issuance dynamics.
-
D.
DAO
DAO is the ICAO airline designator assigned to Daallo Airlines, a regional carrier based in the Horn of Africa.
-
E.
DAO
DAO (Data Access Objects) is an older Microsoft data access technology that provides an object-oriented interface for working with databases, particularly Jet/Access databases.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fdc21881909d87062db6fb8fb7 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.