Triple
T10890482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Donoghue |
E257159
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hood
"Hood" is a novel by Emma Donoghue that explores grief, identity, and a lesbian relationship in contemporary Ireland.
|
E892195
|
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: Hood | Statement: [Emma Donoghue, notableWork, Hood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hood Context triple: [Emma Donoghue, notableWork, Hood]
-
A.
Hood
Hood is an English surname historically associated with notable figures such as the British naval commander Samuel Hood, 1st Viscount Hood.
-
B.
HOOD
HOOD is the stock ticker symbol for Robinhood Markets, Inc., a financial services company known for its commission-free trading app for stocks, ETFs, options, and cryptocurrencies.
-
C.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
D.
Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
-
E.
Hanvey
Hanvey is a surname most notably associated with Scottish politician Neale Hanvey.
- 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: Hood Triple: [Emma Donoghue, notableWork, Hood]
Generated description
"Hood" is a novel by Emma Donoghue that explores grief, identity, and a lesbian relationship in contemporary Ireland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hood Target entity description: "Hood" is a novel by Emma Donoghue that explores grief, identity, and a lesbian relationship in contemporary Ireland.
-
A.
Hood
Hood is an English surname historically associated with notable figures such as the British naval commander Samuel Hood, 1st Viscount Hood.
-
B.
HOOD
HOOD is the stock ticker symbol for Robinhood Markets, Inc., a financial services company known for its commission-free trading app for stocks, ETFs, options, and cryptocurrencies.
-
C.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
D.
Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
-
E.
Hanvey
Hanvey is a surname most notably associated with Scottish politician Neale Hanvey.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d752041e2c8190b513dc9dc5857fcc |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15500bb7881908b9799d7653aec72 |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e17d3060888190b3801272835b939a |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1806bc1048190bcbff6f6d3d7da19 |
completed | April 17, 2026, 12:35 a.m. |
Created at: April 8, 2026, 9:21 p.m.