Triple
T13220398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liquidation |
E314736
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Keserű
Keserű is a character featured in the work titled "Liquidation."
|
E1027839
|
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: Keserű | Statement: [Liquidation, hasCharacter, Keserű]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keserű Context triple: [Liquidation, hasCharacter, Keserű]
-
A.
Kehrsatz
Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
-
B.
Kuso
Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
-
C.
Kerketeus
Kerketeus is the ancient or alternative name for Mount Kerkis, a prominent mountain on the Greek island of Samos.
-
D.
Kekerdom
Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
-
E.
Kes
Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
- 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: Keserű Triple: [Liquidation, hasCharacter, Keserű]
Generated description
Keserű is a character featured in the work titled "Liquidation."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keserű Target entity description: Keserű is a character featured in the work titled "Liquidation."
-
A.
Kehrsatz
Kehrsatz is a municipality in the canton of Bern, Switzerland, situated just south of the city of Bern within its metropolitan region.
-
B.
Kuso
Kuso is a surreal, experimental horror-comedy film directed by musician and filmmaker Flying Lotus, known for its grotesque imagery and fragmented, post-apocalyptic narrative.
-
C.
Kerketeus
Kerketeus is the ancient or alternative name for Mount Kerkis, a prominent mountain on the Greek island of Samos.
-
D.
Kekerdom
Kekerdom is a small village in the Dutch province of Gelderland, known for its rural landscape along the Waal River and traditional dike-side farms.
-
E.
Kes
Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2282fc8190bc5037ff62e594ff |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7001924d48190af7d430cb258409a |
completed | May 3, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 9, 2026, 9:18 p.m.