Triple
T12920378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Ehrlich |
E309100
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nest
Nest is a young adult novel by Esther Ehrlich that follows a girl coping with her mother’s illness and family upheaval in 1970s Cape Cod.
|
E1011050
|
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: Nest | Statement: [Esther Ehrlich, notableWork, Nest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nest Context triple: [Esther Ehrlich, notableWork, Nest]
-
A.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
B.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
-
C.
The Nest
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
-
D.
The Nest
The Nest was an early 20th-century football ground in Norwich, England, best known as the former home of Norwich City F.C. before the club moved to Carrow Road.
-
E.
The Nest
"The Nest" is a British television drama series centered on a wealthy couple and a troubled teenage girl who enter a tense surrogacy arrangement.
- 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: Nest Triple: [Esther Ehrlich, notableWork, Nest]
Generated description
Nest is a young adult novel by Esther Ehrlich that follows a girl coping with her mother’s illness and family upheaval in 1970s Cape Cod.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nest Target entity description: Nest is a young adult novel by Esther Ehrlich that follows a girl coping with her mother’s illness and family upheaval in 1970s Cape Cod.
-
A.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
B.
The Nest
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
-
C.
The Nest
"The Nest" is a British television drama series centered on a wealthy couple and a troubled teenage girl who enter a tense surrogacy arrangement.
-
D.
The Nest
The Nest was an early 20th-century football ground in Norwich, England, best known as the former home of Norwich City F.C. before the club moved to Carrow Road.
-
E.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5ffcc48190bf93ce32e4aecfcd |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1aa191081908266128776a2147a |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:41 p.m.