Triple
T13319983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Su |
E317289
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lisa Su |
E317289
|
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: Lisa Su | Statement: [Lisa Su, name, Lisa Su]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Su Context triple: [Lisa Su, name, Lisa Su]
-
A.
Lisa Su
chosen
Lisa Su is a Taiwanese-American electrical engineer and business executive best known for leading AMD’s turnaround and growth as its chief executive.
-
B.
Greg Zeschuk
Greg Zeschuk is a Canadian video game developer and physician best known as a co-founder of the acclaimed role-playing game studio BioWare.
-
C.
Linda Gelsinger
Linda Gelsinger is the wife of Intel CEO Pat Gelsinger and is known for her involvement in Christian ministry and family-focused activities alongside her husband.
-
D.
Diane Greene
Diane Greene is a prominent American technology executive and entrepreneur best known as a co-founder and former CEO of VMware and a former CEO of Google Cloud.
-
E.
Angela Ahrendts
Angela Ahrendts is an American business executive best known for leading Burberry as CEO and later serving as Apple’s Senior Vice President of Retail.
- 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.