Triple
T5452032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMessage |
E122390
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
Signal
Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
|
E521658
|
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: Signal | Statement: [iMessage, competitor, Signal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signal Context triple: [iMessage, competitor, Signal]
-
A.
Signal
Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
-
B.
Signal Peak
Signal Peak is a prominent mountain summit in southwestern Arizona, known as the tallest point within the rugged Kofa Mountains.
-
C.
Signal Fire
"Signal Fire" is a 2007 alternative rock song by Snow Patrol, best known for its inclusion on the soundtrack of the film Spider-Man 3.
-
D.
SIG
SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
-
E.
SIG
SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
- 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: Signal Triple: [iMessage, competitor, Signal]
Generated description
Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Signal Target entity description: Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
-
A.
Signal
Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
-
B.
Signal Peak
Signal Peak is a prominent mountain summit in southwestern Arizona, known as the tallest point within the rugged Kofa Mountains.
-
C.
Signal Fire
"Signal Fire" is a 2007 alternative rock song by Snow Patrol, best known for its inclusion on the soundtrack of the film Spider-Man 3.
-
D.
SIG
SIG is the public utility company of Geneva, Switzerland, responsible for providing services such as electricity, gas, water, and energy solutions to the region.
-
E.
SIG
SIG is an acronym commonly used by the Association for Computing Machinery to denote its specialized Special Interest Groups that focus on particular areas of computing research and practice.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dfec248190af6f9c793a99c34c |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf413d25008190b100c8297d6063b1 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf4535298081909a685913e04e1f30 |
completed | March 22, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4588353c8190b86cd968716e945c |
completed | March 22, 2026, 1:27 a.m. |
Created at: March 20, 2026, 2:08 p.m.