Triple
T11776809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Stephen |
E280038
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stephen
Stephen is a common English surname borne by various notable individuals across fields such as literature, politics, and the arts.
|
E949604
|
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: Stephen | Statement: [Vanessa Stephen, familyName, Stephen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Context triple: [Vanessa Stephen, familyName, Stephen]
-
A.
Stephen
Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
-
B.
Stephen
Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
-
C.
Stephen
Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
-
D.
Stephen
Stephen is the given name of Stephen Stills, the American singer-songwriter and musician known for his work with Buffalo Springfield and Crosby, Stills, Nash & Young.
-
E.
Stephen
Stephen was the birth name of Pope Stephen II, a 8th-century pontiff who played a key role in forging the alliance between the papacy and the Frankish kingdom.
- 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: Stephen Triple: [Vanessa Stephen, familyName, Stephen]
Generated description
Stephen is a common English surname borne by various notable individuals across fields such as literature, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Target entity description: Stephen is a common English surname borne by various notable individuals across fields such as literature, politics, and the arts.
-
A.
Stephen
Stephen is the given name of Stephen Stills, the American singer-songwriter and musician known for his work with Buffalo Springfield and Crosby, Stills, Nash & Young.
-
B.
Stephen
Stephen is the given name of Stephen Jay Gould, the influential American paleontologist, evolutionary biologist, and science writer.
-
C.
Stephen
Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
-
D.
Stephen
Stephen is the given first name of English actor, comedian, and writer Steve Coogan.
-
E.
Stephen
Stephen is the given name of Stephen R. Covey, the influential American educator, author, and leadership expert best known for writing "The 7 Habits of Highly Effective People."
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a560bf548190afab3ad14f953a71 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166aed0908190b43e01b674382b1f |
completed | April 29, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.