Triple
T12046485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghent Film Festival |
E286799
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Ben Ter Elst
Ben Ter Elst is a film industry figure best known as the founder of the Ghent Film Festival in Belgium.
|
E961171
|
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: Ben Ter Elst | Statement: [Ghent Film Festival, foundedBy, Ben Ter Elst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Ter Elst Context triple: [Ghent Film Festival, foundedBy, Ben Ter Elst]
-
A.
Ben Louw
Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
-
B.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
C.
Dirk Westervelt
Dirk Westervelt is a film editor known for his work on major feature films, including the crime drama "Notorious."
-
D.
Greg de Vries
Greg de Vries is a retired Canadian professional ice hockey defenceman who played over 800 NHL games and won the Stanley Cup with the Colorado Avalanche in 2001.
-
E.
Dennis van Aarssen
Dennis van Aarssen is a Dutch jazz and pop singer who gained national fame after winning the talent show The Voice of Holland.
- 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: Ben Ter Elst Triple: [Ghent Film Festival, foundedBy, Ben Ter Elst]
Generated description
Ben Ter Elst is a film industry figure best known as the founder of the Ghent Film Festival in Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Ter Elst Target entity description: Ben Ter Elst is a film industry figure best known as the founder of the Ghent Film Festival in Belgium.
-
A.
Ben Louw
Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
-
B.
Christian Huitema
Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
-
C.
Dirk Westervelt
Dirk Westervelt is a film editor known for his work on major feature films, including the crime drama "Notorious."
-
D.
Greg de Vries
Greg de Vries is a retired Canadian professional ice hockey defenceman who played over 800 NHL games and won the Stanley Cup with the Colorado Avalanche in 2001.
-
E.
Dennis van Aarssen
Dennis van Aarssen is a Dutch jazz and pop singer who gained national fame after winning the talent show The Voice of Holland.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904211b588190bfc7603e5b33dcb7 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49db574bc8190a0f2f858a2ff788d |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d95d4fc8190b5f4e460646bec2a |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.