Triple
T21169620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal |
E521658
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Signal Foundation |
—
|
NE NERFINISHED |
How this triple was built (2 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 Foundation | Statement: [Signal, developer, Signal Foundation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signal Foundation Context triple: [Signal, developer, Signal Foundation]
-
A.
Signal
Signal is a toothpaste and oral care brand known for its focus on dental hygiene products in various international markets.
-
B.
Signal
Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
-
C.
Signal
Signal is the superhero alias of Duke Thomas, a member of the Batman Family who operates as a daytime vigilante in Gotham City.
-
D.
Signal
chosen
Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
-
E.
Signal Peak
Signal Peak is the highest summit in Arizona’s Pinal Mountains, known for its forested slopes and panoramic views of the surrounding desert landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72711be9481909f16107b71d3500a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.