Triple
T1031383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Williams |
E22258
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Evan
Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
|
E126478
|
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: Evan | Statement: [Evan Williams, givenName, Evan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Context triple: [Evan Williams, givenName, Evan]
-
A.
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.
-
B.
Evan Whitfield
Evan Whitfield is a former American professional soccer defender best known for his years with the Chicago Fire in Major League Soccer.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Owen
Owen is a common Welsh-origin surname borne by many people, including the renowned World War I poet Wilfred Owen.
- 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: Evan Triple: [Evan Williams, givenName, Evan]
Generated description
Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evan Target entity description: Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
-
A.
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.
-
B.
Evan Whitfield
Evan Whitfield is a former American professional soccer defender best known for his years with the Chicago Fire in Major League Soccer.
-
C.
Gavin
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
D.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
E.
Owen
Owen is a common Welsh-origin surname borne by many people, including the renowned World War I poet Wilfred Owen.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b810429081908a97014ca740824b |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c15bb8481909ba68f5807581b18 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4d3d095881908276f22c93efe52b |
completed | March 7, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4daf3f08819085dba18f97b09961 |
completed | March 7, 2026, 4:09 p.m. |
Created at: March 1, 2026, 7:41 p.m.