Triple
T1423131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary: A Fiction |
E30268
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Mary: A Fiction |
E30268
|
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: Mary: A Fiction | Statement: [Mary: A Fiction, title, Mary: A Fiction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary: A Fiction Context triple: [Mary: A Fiction, title, Mary: A Fiction]
-
A.
Mary: A Fiction
chosen
"Mary: A Fiction" is an early feminist novel by Mary Wollstonecraft that explores the emotional and intellectual struggles of a young woman constrained by 18th-century social norms.
-
B.
The Mysterious Mother
The Mysterious Mother is a 1768 Gothic verse drama by Horace Walpole that explores dark themes of incest, guilt, and religious anxiety within an aristocratic family.
-
C.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
D.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
E.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4ba798881909c2259987248b030 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0161e23c819099a1c72627f13dd0 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.