Triple
T5922255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinon |
E131726
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sinon |
E178242
|
NE FINISHED |
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: Sinon | Statement: [Sinon, name, Sinon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinon Context triple: [Sinon, name, Sinon]
-
A.
Sinon
Sinon is a popular JavaScript library used for creating test spies, stubs, and mocks to facilitate unit testing.
-
B.
Sinon (in some traditions)
chosen
Sinon is a minor figure in Greek mythology, sometimes portrayed as a descendant of Sisyphus and best known for his role in persuading the Trojans to bring the wooden horse into their city.
-
C.
Flogger
Flogger is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-23 variable-geometry fighter aircraft.
-
D.
Niffer
Niffer is the modern name for the archaeological site of ancient Nippur, a major religious and cultural center in Sumerian Mesopotamia.
-
E.
Gongman
Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03804d9808190829a418adb7864aa |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c041d4f08190863141b037b1c05f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.