Triple
T19664254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Green |
E472160
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Doting
Doting is a 1952 novel by British writer Henry Green, known for its witty, dialogue-driven portrayal of postwar London relationships and social manners.
|
E1388512
|
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: Doting | Statement: [Henry Green, notableWork, Doting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doting Context triple: [Henry Green, notableWork, Doting]
-
A.
Carinhoso
Carinhoso is a famous Brazilian choro composition by Pixinguinha that has become a standard of Brazilian popular music.
-
B.
Kind Love
Kind Love is a song by Nigerian singer Ayo, known for her soulful blend of folk, reggae, and acoustic pop influences.
-
C.
KIND
KIND is the ICAO airport code for Indianapolis International Airport, a major commercial airport serving Indianapolis, Indiana, in the United States.
-
D.
Lovering
Lovering is an English-language surname borne by various notable individuals, including American drummer David Lovering of the alternative rock band Pixies.
-
E.
Beneful
Beneful is a popular line of dog food products produced by Nestlé Purina PetCare, known for its dry kibble, wet food, and treats.
- 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: Doting Triple: [Henry Green, notableWork, Doting]
Generated description
Doting is a 1952 novel by British writer Henry Green, known for its witty, dialogue-driven portrayal of postwar London relationships and social manners.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doting Target entity description: Doting is a 1952 novel by British writer Henry Green, known for its witty, dialogue-driven portrayal of postwar London relationships and social manners.
-
A.
Carinhoso
Carinhoso is a famous Brazilian choro composition by Pixinguinha that has become a standard of Brazilian popular music.
-
B.
Kind Love
Kind Love is a song by Nigerian singer Ayo, known for her soulful blend of folk, reggae, and acoustic pop influences.
-
C.
KIND
KIND is the ICAO airport code for Indianapolis International Airport, a major commercial airport serving Indianapolis, Indiana, in the United States.
-
D.
Lovering
Lovering is an English-language surname borne by various notable individuals, including American drummer David Lovering of the alternative rock band Pixies.
-
E.
Beneful
Beneful is a popular line of dog food products produced by Nestlé Purina PetCare, known for its dry kibble, wet food, and treats.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416749d48190b141a6acd20c9694 |
completed | April 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ef8b8d08190a2f408e45e44d430 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077fcef0288190a6c82be17c29a4ae |
completed | May 15, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780a281248190a1056b682f0aa952 |
completed | May 15, 2026, 8:22 p.m. |
Created at: April 10, 2026, 1:45 p.m.