Triple
T11036860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen McGann |
E260907
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Stephen
Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and meaning "crown" or "garland."
|
E83906
|
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: [Stephen McGann, givenName, Stephen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Context triple: [Stephen McGann, givenName, Stephen]
-
A.
Stephen
Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
-
B.
Stephen
Stephen is the full given name of former Scottish footballer and manager Steve Nicol, best known for his successful career with Liverpool FC in the 1980s and early 1990s.
-
C.
Stephen
Stephen is the first name of English former footballer and manager Steve Coppell.
-
D.
Stephen
Stephen is the first name of Steve Ditko, the influential American comic book artist and co-creator of Spider-Man and Doctor Strange.
-
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: [Stephen McGann, givenName, Stephen]
Generated description
Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and meaning "crown" or "garland."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Target entity description: Stephen is a masculine given name of Greek origin, commonly used in English-speaking countries and meaning "crown" or "garland."
-
A.
Stephen
chosen
Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
-
B.
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.
-
C.
Stephen
Stephen is the given name of Stephen Marley, a Jamaican musician and son of reggae legend Bob Marley.
-
D.
Stephen
Stephen is the given name of Stephen Decatur, a renowned early 19th-century United States naval officer celebrated for his heroism in the Barbary Wars and the War of 1812.
-
E.
Stephen
Stephen is the given name of Stephen Strasburg, an American professional baseball pitcher known for his career with the Washington Nationals.
- F. None of above.
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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9b70074819084c725c5babf2fb7 |
completed | April 18, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69e3ad00b5c08190a7bf3ecbeae76d88 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1fff754819092d634f46fb42387 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:25 p.m.