Triple
T16253109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monster |
E394561
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | Siobhan Dowd |
E394559
|
NE FINISHED |
How this triple was built (2 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: Siobhan Dowd | Statement: [The Monster, basedOnWorkBy, Siobhan Dowd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siobhan Dowd Context triple: [The Monster, basedOnWorkBy, Siobhan Dowd]
-
A.
Siobhan Dowd
chosen
Siobhan Dowd was an award-winning British-Irish author best known for her powerful young adult novels that often explored themes of social justice, identity, and loss.
-
B.
Moira Dinneen
Moira Dinneen is a person notable enough to be specifically cited as a bearer of the surname Dinneen.
-
C.
Claire Finn
Claire Finn is a skilled and compassionate chief medical officer aboard the exploratory spaceship in the science-fiction comedy-drama series "The Orville."
-
D.
Moira Harris
Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
-
E.
Prunella Gee
Prunella Gee is a British actress known for her film, television, and stage work, particularly in British productions of the 1970s and 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24597b74481908fdb8175628a57a1 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025f9b8bc81909315b14c3c1f6d83 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.