Triple
T4705686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Ho Suh |
E104386
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ho
Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
|
E463675
|
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: Ho | Statement: [Do Ho Suh, givenName, Ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ho Context triple: [Do Ho Suh, givenName, Ho]
-
A.
Ho
Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
-
B.
Ho
Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
-
C.
Hor
Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
-
D.
Hol
Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
-
E.
HO
HO is the stock ticker symbol for Thales Group, a major French multinational company specializing in aerospace, defense, security, and transportation technologies.
- 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: Ho Triple: [Do Ho Suh, givenName, Ho]
Generated description
Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ho Target entity description: Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
-
A.
Ho
Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
-
B.
Ho
Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
-
C.
Hor
Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
-
D.
Hol
Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
-
E.
HO
HO is the vehicle registration code used on license plates for the city and district of Hof in Upper Franconia, Germany.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e808c88190877e98408498fb62 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1067c6a081909fa06689ea66a8a4 |
completed | March 21, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69be133c5a8c8190b3c0f066c4ab44a9 |
completed | March 21, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be13cafd1c8190aec0efe6328c25b8 |
completed | March 21, 2026, 3:43 a.m. |
Created at: March 20, 2026, 1:17 p.m.