Triple
T2412938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Spiegel |
E52235
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Evan |
E126478
|
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: Evan | Statement: [Evan Spiegel, givenName, Evan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Context triple: [Evan Spiegel, givenName, Evan]
-
A.
Evan
chosen
Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
-
B.
Evan Washburn
Evan Washburn is an American sports reporter best known as a sideline correspondent for CBS’s NFL coverage, including major events like the Super Bowl.
-
C.
Evan Whitfield
Evan Whitfield is a former American professional soccer defender best known for his years with the Chicago Fire in Major League Soccer.
-
D.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
E.
Evan Bogart
Evan Bogart is an American songwriter and music executive best known for penning hit pop and R&B songs for artists such as Beyoncé, Rihanna, and Britney Spears.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3f00cc481909c2841a6f2ebadad |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 6, 2026, 9:41 p.m.