Triple
T16028076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Stephen III |
E388769
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Stephen
Stephen was the birth name of Pope Stephen III, a 8th-century pontiff of the Roman Catholic Church.
|
E1189258
|
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: [Pope Stephen III, birthName, Stephen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Context triple: [Pope Stephen III, birthName, Stephen]
-
A.
Stephen
Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
-
B.
Stephen
Stephen is the formal given name of Steve Wozniak, the American computer engineer and co-founder of Apple Inc.
-
C.
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.
-
D.
Stephen
Stephen is the central protagonist of the film "Empire of Light," around whom the story’s emotional and social themes revolve.
-
E.
Stephen
Stephen is the given first name of Steve Wynn, the American real estate businessman and art collector known for his role in developing major Las Vegas casinos.
- 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: [Pope Stephen III, birthName, Stephen]
Generated description
Stephen was the birth name of Pope Stephen III, a 8th-century pontiff of the Roman Catholic Church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Target entity description: Stephen was the birth name of Pope Stephen III, a 8th-century pontiff of the Roman Catholic Church.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Stephen
Stephen is the given name of Stephen Jay Gould, the influential American paleontologist, evolutionary biologist, and science writer.
-
E.
Stephen
Stephen is the Christian baptismal name traditionally associated with Vajk, the first king and state-founder of Hungary, later canonized as Saint Stephen.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183294984819080b8727a3511a21b |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf33c6a881909284933ea3b7dd6e |
completed | May 10, 2026, 12:20 a.m. |
| NEDg | Description generation | batch_69ffd01d545c8190a96cd888223c7fa9 |
completed | May 10, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0b3d4b08190b1be30954d5d76c0 |
completed | May 10, 2026, 12:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.