Triple
T22976630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Woodrell |
E571337
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tomato Red
Tomato Red is a gritty crime novel by Daniel Woodrell that explores poverty, desperation, and family ties in the rural American Ozarks.
|
E1564754
|
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: Tomato Red | Statement: [Daniel Woodrell, notableWork, Tomato Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomato Red Context triple: [Daniel Woodrell, notableWork, Tomato Red]
-
A.
Rhubarb Red
Rhubarb Red was the early stage name of legendary American guitarist and inventor Les Paul, used during his career as a country and jazz musician.
-
B.
Carmine
Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
-
C.
Vivid Red
Vivid Red is a track from the Misfits’ 2011 horror-punk album "The Devil’s Rain."
-
D.
Vermelha
Vermelha is a civil parish located in the municipality of Cadaval in Portugal, known for its rural character within the Oeste region.
-
E.
Virgin red
Virgin red is the distinctive, vibrant shade of red used across the Virgin brand’s visual identity to convey energy, boldness, and recognition.
- 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: Tomato Red Triple: [Daniel Woodrell, notableWork, Tomato Red]
Generated description
Tomato Red is a gritty crime novel by Daniel Woodrell that explores poverty, desperation, and family ties in the rural American Ozarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomato Red Target entity description: Tomato Red is a gritty crime novel by Daniel Woodrell that explores poverty, desperation, and family ties in the rural American Ozarks.
-
A.
Rhubarb Red
Rhubarb Red was the early stage name of legendary American guitarist and inventor Les Paul, used during his career as a country and jazz musician.
-
B.
Carmine
Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
-
C.
Vivid Red
Vivid Red is a track from the Misfits’ 2011 horror-punk album "The Devil’s Rain."
-
D.
Vermelha
Vermelha is a civil parish located in the municipality of Cadaval in Portugal, known for its rural character within the Oeste region.
-
E.
Virgin red
Virgin red is the distinctive, vibrant shade of red used across the Virgin brand’s visual identity to convey energy, boldness, and recognition.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182369b548190a6630655a6e0bb39 |
completed | April 29, 2026, 3:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd36f73a48190ba07a754949e2e40 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd41c89708190a3df2a798ca25c99 |
completed | May 19, 2026, 3:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd5263734819082ce8b1c3082243f |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:48 p.m.