Triple
T13319986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Su |
E317289
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Su |
E703897
|
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: Su | Statement: [Lisa Su, familyName, Su]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Su Context triple: [Lisa Su, familyName, Su]
-
A.
Su
Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
-
B.
Su
Su is the given name of Su Rogers, a British architect and academic known for her contributions to modern architecture and design education.
-
C.
Su
chosen
Su is a Chinese surname borne by many notable historical and contemporary figures, including the Song dynasty poet and statesman Su Shi.
-
D.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
-
E.
Sy
Sy is the first name of Sy Gomberg, an American screenwriter and producer known for his work in mid-20th-century film and television.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.