Triple
T6115128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Case |
E136340
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stephen |
E83906
|
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: Stephen | Statement: [Stephen Case, givenName, Stephen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Context triple: [Stephen Case, givenName, 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 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 a prominent early Christian figure known as the first Christian martyr, whose story is recounted in the New Testament book of Acts.
-
D.
Stephen
Stephen is the given name of Stephen Strasburg, an American professional baseball pitcher known for his career with the Washington Nationals.
-
E.
Stephen
chosen
Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13564c2088190847cde0b9ec02591 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:14 p.m.