Triple
T2874653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Z. Hobson |
E56846
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Celebrity
The Celebrity is a novel by Laura Z. Hobson, best known for its incisive exploration of fame, identity, and personal integrity.
|
E305772
|
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: The Celebrity | Statement: [Laura Z. Hobson, notableWork, The Celebrity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Celebrity Context triple: [Laura Z. Hobson, notableWork, The Celebrity]
-
A.
Fuente de la Fama
Fuente de la Fama is a celebrated Baroque fountain in San Ildefonso, Spain, renowned for its elaborate sculptural design and association with the royal gardens of La Granja.
-
B.
Dame
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
-
C.
Kean
Kean is a stage musical about the life of 19th-century English actor Edmund Kean, known for its dramatic exploration of theatrical fame and personal turmoil.
-
D.
Kean
Kean is a surname most prominently associated with Thomas H. Kean, the former governor of New Jersey and chair of the 9/11 Commission.
-
E.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
- 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: The Celebrity Triple: [Laura Z. Hobson, notableWork, The Celebrity]
Generated description
The Celebrity is a novel by Laura Z. Hobson, best known for its incisive exploration of fame, identity, and personal integrity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Celebrity Target entity description: The Celebrity is a novel by Laura Z. Hobson, best known for its incisive exploration of fame, identity, and personal integrity.
-
A.
Fuente de la Fama
Fuente de la Fama is a celebrated Baroque fountain in San Ildefonso, Spain, renowned for its elaborate sculptural design and association with the royal gardens of La Granja.
-
B.
Dame
Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
-
C.
Kean
Kean is a stage musical about the life of 19th-century English actor Edmund Kean, known for its dramatic exploration of theatrical fame and personal turmoil.
-
D.
Kean
Kean is a surname most prominently associated with Thomas H. Kean, the former governor of New Jersey and chair of the 9/11 Commission.
-
E.
The Mister
The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db780908190919d859205464b2e |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b0201470cc81909188573c3749dffb |
completed | March 10, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020aa00888190a683a621f1e1a107 |
completed | March 10, 2026, 1:46 p.m. |
Created at: March 6, 2026, 10:03 p.m.