Triple
T20426052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamm |
E501002
|
entity |
| Predicate | dialogueStyle |
P5869
|
FINISHED |
| Object |
Bleak
Bleak is a stark, desolate tone or mood often used in dialogue to convey hopelessness, emotional coldness, or grim realism.
|
E1429188
|
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: Bleak | Statement: [Hamm, dialogueStyle, Bleak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleak Context triple: [Hamm, dialogueStyle, Bleak]
-
A.
Melankolic
Melankolic is a music label known for releasing the works of the Icelandic post-rock band Sigur Rós and related projects.
-
B.
Cold and Empty
"Cold and Empty" is a country-influenced rock ballad by Kid Rock that reflects on loneliness and emotional emptiness.
-
C.
Triste
"Triste" is a track from the album *In the Moonlight*, likely a reflective or melancholic piece given its title (which means "sad" in several Romance languages).
-
D.
Morose
Morose is a wealthy, noise-hating gentleman in Ben Jonson’s comedy "Epicœne, or The Silent Woman," whose obsessive desire for silence drives the play’s central plot and misunderstandings.
-
E.
Dull
Dull is a small village in Perth and Kinross, Scotland, known for its pairing with the U.S. town of Boring in a lighthearted tourism initiative.
- 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: Bleak Triple: [Hamm, dialogueStyle, Bleak]
Generated description
Bleak is a stark, desolate tone or mood often used in dialogue to convey hopelessness, emotional coldness, or grim realism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bleak Target entity description: Bleak is a stark, desolate tone or mood often used in dialogue to convey hopelessness, emotional coldness, or grim realism.
-
A.
Melankolic
Melankolic is a music label known for releasing the works of the Icelandic post-rock band Sigur Rós and related projects.
-
B.
Cold and Empty
"Cold and Empty" is a country-influenced rock ballad by Kid Rock that reflects on loneliness and emotional emptiness.
-
C.
Triste
"Triste" is a track from the album *In the Moonlight*, likely a reflective or melancholic piece given its title (which means "sad" in several Romance languages).
-
D.
Morose
Morose is a wealthy, noise-hating gentleman in Ben Jonson’s comedy "Epicœne, or The Silent Woman," whose obsessive desire for silence drives the play’s central plot and misunderstandings.
-
E.
Dull
Dull is a small village in Perth and Kinross, Scotland, known for its pairing with the U.S. town of Boring in a lighthearted tourism initiative.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b2e7084819090d89779d8ebea38 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.