Triple
T10497599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section Paloise |
E247578
|
entity |
| Predicate | notableFormerPlayer |
P304
|
FINISHED |
| Object | Conrad Smith |
E859123
|
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: Conrad Smith | Statement: [Section Paloise, notableFormerPlayer, Conrad Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conrad Smith Context triple: [Section Paloise, notableFormerPlayer, Conrad Smith]
-
A.
Conrad Smith
chosen
Conrad Smith is a former New Zealand rugby union centre renowned for his key role in the All Blacks’ dominant era, including multiple Rugby World Cup victories.
-
B.
Conrad Sewell
Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
-
C.
Julian C. Smith
Julian C. Smith was a United States Marine Corps lieutenant general best known for leading the 2nd Marine Division in the Pacific Theater during World War II.
-
D.
Conrad Vernon
Conrad Vernon is an American film director, voice actor, and storyboard artist best known for his work on animated features such as Shrek 2, Monsters vs. Aliens, and Sausage Party.
-
E.
Charles Noland
Charles Noland is an American actor known for his character roles in film, television, and theater.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
Created at: April 6, 2026, 12:25 p.m.