Triple
T3425617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIGKDD Innovation Award |
E72222
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Philip S. Yu
Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
|
E356906
|
NE FINISHED |
How this triple was built (4 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: Philip S. Yu | Statement: [SIGKDD Innovation Award, notableRecipient, Philip S. Yu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip S. Yu Context triple: [SIGKDD Innovation Award, notableRecipient, Philip S. Yu]
-
A.
Andrew T. Hsu
Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
-
B.
Eric S. Yuan
Eric S. Yuan is a Chinese-American entrepreneur best known as the founder and CEO of Zoom Video Communications, a leading video conferencing platform.
-
C.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
D.
Yu-Chi Ho
Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
-
E.
Mung Chiang
Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Philip S. Yu Triple: [SIGKDD Innovation Award, notableRecipient, Philip S. Yu]
Generated description
Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philip S. Yu Target entity description: Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
-
A.
Andrew T. Hsu
Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
-
B.
Eric S. Yuan
Eric S. Yuan is a Chinese-American entrepreneur best known as the founder and CEO of Zoom Video Communications, a leading video conferencing platform.
-
C.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
D.
Yu-Chi Ho
Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
-
E.
Mung Chiang
Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
- F. None of above. chosen
Provenance (5 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9812a648190ac919e7291744b5a |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354766bcc81909fb3124262c93f8f |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35565a688819096c7e5fdf8e944bf |
completed | March 13, 2026, 12:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355efa89c8190bf9b2eb3c41257b3 |
completed | March 13, 2026, 12:10 a.m. |
Created at: March 8, 2026, 3:15 p.m.