Triple
T8515947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peacemaker |
E201571
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Christopher Smith |
E338926
|
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: Christopher Smith | Statement: [Peacemaker, fullName, Christopher Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Smith Context triple: [Peacemaker, fullName, Christopher Smith]
-
A.
Christopher Smith
chosen
Christopher Smith is an individual associated with online communities or organizations connected to the Internet.
-
B.
Leo Smith
Leo Smith is an education administrator who serves as the business administrator for the Bayonne School District, overseeing its financial and operational affairs.
-
C.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the ecclesiastical leader of the Episcopal Diocese of North Dakota.
-
D.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
-
E.
Phil Smith
Phil Smith was an American professional basketball player best known as a two-time NBA All-Star guard and key contributor to the Golden State Warriors’ 1975 championship team.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60f37b0819082ae14e539f57b56 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88ec84208190ab72c8411e6cc4c2 |
completed | April 2, 2026, 3:19 p.m. |
Created at: March 30, 2026, 6:15 p.m.