Triple
T3569651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Asquith |
E75536
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
|
E369951
|
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: Haven | Statement: [Elizabeth Asquith, notableWork, Haven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haven Context triple: [Elizabeth Asquith, notableWork, Haven]
-
A.
Moonhaven
Moonhaven is a science fiction television series set in a utopian lunar colony that becomes central to humanity’s survival.
-
B.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
-
C.
The Valley
The Valley is the small administrative and commercial center of the Caribbean island territory of Anguilla.
-
D.
Asylum Hill
Asylum Hill is a historic neighborhood in Hartford, Connecticut, known for its Victorian architecture, major insurance company headquarters, and cultural institutions.
-
E.
Dreamfinder
Dreamfinder is a whimsical, bearded explorer of imagination from Disney's Epcot, known for guiding guests through creative adventures alongside his dragon companion Figment.
- 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: Haven Triple: [Elizabeth Asquith, notableWork, Haven]
Generated description
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haven Target entity description: "Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
A.
Moonhaven
Moonhaven is a science fiction television series set in a utopian lunar colony that becomes central to humanity’s survival.
-
B.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
-
C.
The Valley
The Valley is the small administrative and commercial center of the Caribbean island territory of Anguilla.
-
D.
Asylum Hill
Asylum Hill is a historic neighborhood in Hartford, Connecticut, known for its Victorian architecture, major insurance company headquarters, and cultural institutions.
-
E.
Dreamfinder
Dreamfinder is a whimsical, bearded explorer of imagination from Disney's Epcot, known for guiding guests through creative adventures alongside his dragon companion Figment.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c1ecb081909051bcc1f38eea31 |
completed | March 8, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbb3383c8190b14845a7de162502 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc62e1b481908310d7af56fb4889 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f5b2fdcc8190842d2d7bd09c65c4 |
completed | March 13, 2026, 11:32 a.m. |
Created at: March 8, 2026, 3:21 p.m.