Triple
T10844847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equilibrium |
E255983
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
William Yeh
William Yeh is an editor known for his work on the publication titled "Equilibrium."
|
E889569
|
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: William Yeh | Statement: [Equilibrium, editedBy, William Yeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Yeh Context triple: [Equilibrium, editedBy, William Yeh]
-
A.
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.
-
B.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
C.
George Huang
George Huang is a Taiwanese entrepreneur best known as a founder of the multinational computer and electronics company Acer Inc.
-
D.
Eugene Wong
Eugene Wong is a computer scientist best known for his pioneering contributions to relational database theory and the development of early relational database systems.
-
E.
Philip S. Yu
Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
- 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: William Yeh Triple: [Equilibrium, editedBy, William Yeh]
Generated description
William Yeh is an editor known for his work on the publication titled "Equilibrium."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Yeh Target entity description: William Yeh is an editor known for his work on the publication titled "Equilibrium."
-
A.
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.
-
B.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
C.
George Huang
George Huang is a Taiwanese entrepreneur best known as a founder of the multinational computer and electronics company Acer Inc.
-
D.
Eugene Wong
Eugene Wong is a computer scientist best known for his pioneering contributions to relational database theory and the development of early relational database systems.
-
E.
Philip S. Yu
Philip S. Yu is a prominent computer scientist known for his influential contributions to data mining, databases, and big data analytics.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb153de988190bd48f1c1980d7ca2 |
completed | April 14, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:19 p.m.