Triple
T6443426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bytecode Alliance |
E138280
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Profian
Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
|
E595006
|
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: Profian | Statement: [Bytecode Alliance, hasMember, Profian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Profian Context triple: [Bytecode Alliance, hasMember, Profian]
-
A.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
-
B.
Frentani
The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
-
C.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
D.
Faleniu
Faleniu is a village on the island of Tutuila in American Samoa, located inland not far from Pago Pago and its international airport.
-
E.
Cadaval
Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
- 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: Profian Triple: [Bytecode Alliance, hasMember, Profian]
Generated description
Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Profian Target entity description: Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
-
A.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
-
B.
Frentani
The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
-
C.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
D.
Faleniu
Faleniu is a village on the island of Tutuila in American Samoa, located inland not far from Pago Pago and its international airport.
-
E.
Cadaval
Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698b030481908b7bb4e16a8b3339 |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc718dc8190b186d09a17562d26 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64f8c3df08190986343f78e7a066a |
completed | March 27, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6501b1b6481908cead1450402752b |
completed | March 27, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:46 p.m.