Triple
T15523764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Source Operations |
E369031
|
entity |
| Predicate | hasProgram |
P178
|
FINISHED |
| Object |
BLARNEY
BLARNEY is a classified U.S. National Security Agency surveillance program focused on collecting and analyzing communications data from major telecommunications infrastructure.
|
E1161800
|
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: BLARNEY | Statement: [Special Source Operations, hasProgram, BLARNEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BLARNEY Context triple: [Special Source Operations, hasProgram, BLARNEY]
-
A.
Blarney Stone
The Blarney Stone is a legendary block of limestone built into Blarney Castle in Ireland, famed for the tradition that kissing it bestows the gift of eloquence.
-
B.
Balfe
Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
-
C.
Ballabeg
Ballabeg is a small village on the Isle of Man, known for its rural character and traditional Manx community.
-
D.
Fál Carrach
Fál Carrach is a small Irish-speaking town in County Donegal, Ireland, known for its strong Gaeltacht culture and traditional music.
-
E.
Lillis
Lillis is a surname most notably associated with American actress Sophia Lillis, known for her roles in horror and coming-of-age films.
- 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: BLARNEY Triple: [Special Source Operations, hasProgram, BLARNEY]
Generated description
BLARNEY is a classified U.S. National Security Agency surveillance program focused on collecting and analyzing communications data from major telecommunications infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BLARNEY Target entity description: BLARNEY is a classified U.S. National Security Agency surveillance program focused on collecting and analyzing communications data from major telecommunications infrastructure.
-
A.
Blarney Stone
The Blarney Stone is a legendary block of limestone built into Blarney Castle in Ireland, famed for the tradition that kissing it bestows the gift of eloquence.
-
B.
Balfe
Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
-
C.
Ballabeg
Ballabeg is a small village on the Isle of Man, known for its rural character and traditional Manx community.
-
D.
Fál Carrach
Fál Carrach is a small Irish-speaking town in County Donegal, Ireland, known for its strong Gaeltacht culture and traditional music.
-
E.
Lillis
Lillis is a surname most notably associated with American actress Sophia Lillis, known for her roles in horror and coming-of-age films.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5706948190a1c0f466f7ef8857 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e5643088190a9b001ef815ddd3a |
completed | May 9, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f4456f88190b7fc9b853b0155e4 |
completed | May 9, 2026, 2:05 p.m. |
Created at: April 10, 2026, 4:05 a.m.