Triple
T8248357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydra |
E192900
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
THC-Hydra
THC-Hydra is a variant of the Hydra password-cracking tool commonly used for testing the security of authentication services.
|
E721425
|
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: THC-Hydra | Statement: [Hydra, hasAlternativeName, THC-Hydra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: THC-Hydra Context triple: [Hydra, hasAlternativeName, THC-Hydra]
-
A.
THC
THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
-
B.
THCA (tetrahydrocannabinolic acid)
THCA (tetrahydrocannabinolic acid) is the non-psychoactive acidic precursor to THC found in raw cannabis, which converts into psychoactive THC through decarboxylation (heat or aging).
-
C.
BHO
BHO is the IATA airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
-
D.
Nabdam
Nabdam are an ethnic group indigenous to northeastern Ghana, particularly associated with the area now known as the Upper East Region.
-
E.
Sahl Hasheesh
Sahl Hasheesh is a modern Red Sea coastal resort town in Egypt known for its luxury hotels, beaches, and diving and snorkeling sites.
- 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: THC-Hydra Triple: [Hydra, hasAlternativeName, THC-Hydra]
Generated description
THC-Hydra is a variant of the Hydra password-cracking tool commonly used for testing the security of authentication services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: THC-Hydra Target entity description: THC-Hydra is a variant of the Hydra password-cracking tool commonly used for testing the security of authentication services.
-
A.
THC
THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
-
B.
THCA (tetrahydrocannabinolic acid)
THCA (tetrahydrocannabinolic acid) is the non-psychoactive acidic precursor to THC found in raw cannabis, which converts into psychoactive THC through decarboxylation (heat or aging).
-
C.
BHO
BHO is the IATA airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
-
D.
Nabdam
Nabdam are an ethnic group indigenous to northeastern Ghana, particularly associated with the area now known as the Upper East Region.
-
E.
Sahl Hasheesh
Sahl Hasheesh is a modern Red Sea coastal resort town in Egypt known for its luxury hotels, beaches, and diving and snorkeling sites.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c6b3c48190a3ecebf449766124 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3530ca148190a28761622d0cf663 |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd37a71af481909e82aa29ae558c4a |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4ef034ec8190a4229b21e6088c79 |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:48 p.m.