Triple
T5768329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZRTP |
E127265
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Twinkle
Twinkle is a secure communication application that uses the ZRTP protocol to provide encrypted voice-over-IP (VoIP) calls.
|
E544018
|
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: Twinkle | Statement: [ZRTP, usedBy, Twinkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twinkle Context triple: [ZRTP, usedBy, Twinkle]
-
A.
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
B.
Sparkle
Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
-
C.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
-
D.
Starlight
Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
-
E.
June Star
June Star is a bratty, outspoken young girl in Flannery O’Connor’s short story “A Good Man Is Hard to Find,” known for her rudeness and lack of empathy.
- 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: Twinkle Triple: [ZRTP, usedBy, Twinkle]
Generated description
Twinkle is a secure communication application that uses the ZRTP protocol to provide encrypted voice-over-IP (VoIP) calls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Twinkle Target entity description: Twinkle is a secure communication application that uses the ZRTP protocol to provide encrypted voice-over-IP (VoIP) calls.
-
A.
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
B.
Sparkle
Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
-
C.
Starlight
Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
-
D.
Starlight
Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
-
E.
June Star
June Star is a bratty, outspoken young girl in Flannery O’Connor’s short story “A Good Man Is Hard to Find,” known for her rudeness and lack of empathy.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e61127c8190833e279403af6605 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08cc5c48481909c1ac21d586b3263 |
completed | March 23, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08d42cac88190b6cd454e8c31a4ef |
completed | March 23, 2026, 12:45 a.m. |
Created at: March 22, 2026, 3:49 p.m.