Triple
T20663559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Mosley |
E507823
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Little Green
"Little Green" is a crime novel by Walter Mosley featuring his iconic private investigator Easy Rawlins in a mystery set in late-1960s Los Angeles.
|
E1443771
|
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: Little Green | Statement: [Walter Mosley, notableWork, Little Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Green Context triple: [Walter Mosley, notableWork, Little Green]
-
A.
Little Green
Little Green is a song by Joni Mitchell from her 1971 album "Blue," known for its poignant lyrics about the daughter she gave up for adoption.
-
B.
Little Green Bag
Little Green Bag is a 1969 pop-rock song by Dutch musician George Baker, best known internationally for its distinctive bass line and later resurgence in popularity through its use in the film "Reservoir Dogs."
-
C.
Little One
Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
-
D.
Little One
"Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
-
E.
Little One
Little One is a track featured on the album "Airtight's Revenge" by Bilal, known for its soulful, introspective style.
- 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: Little Green Triple: [Walter Mosley, notableWork, Little Green]
Generated description
"Little Green" is a crime novel by Walter Mosley featuring his iconic private investigator Easy Rawlins in a mystery set in late-1960s Los Angeles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Green Target entity description: "Little Green" is a crime novel by Walter Mosley featuring his iconic private investigator Easy Rawlins in a mystery set in late-1960s Los Angeles.
-
A.
Little Green
Little Green is a song by Joni Mitchell from her 1971 album "Blue," known for its poignant lyrics about the daughter she gave up for adoption.
-
B.
Little Green Bag
Little Green Bag is a 1969 pop-rock song by Dutch musician George Baker, best known internationally for its distinctive bass line and later resurgence in popularity through its use in the film "Reservoir Dogs."
-
C.
Little One
Little One is a track featured on the album "Airtight's Revenge" by Bilal, known for its soulful, introspective style.
-
D.
Little One
Little One is a track from the jazz album "Maiden Voyage" by pianist and composer Herbie Hancock.
-
E.
Little One
"Little One" is a song by the American rock band E.S.P., known as one of the tracks in their musical catalog.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f4872481908858eb88ce89dd47 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd5d0da481909eebd69b8b314503 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175206c8190b119bb1a2d06462f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.