Triple
T10285197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strange Love of Martha Ivers |
E241208
|
entity |
| Predicate | narrativeLocation |
P40
|
FINISHED |
| Object |
Iverstown
Iverstown is the fictional, gloomy industrial town that serves as the central setting in the film noir drama "The Strange Love of Martha Ivers."
|
E852659
|
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: Iverstown | Statement: [The Strange Love of Martha Ivers, narrativeLocation, Iverstown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iverstown Context triple: [The Strange Love of Martha Ivers, narrativeLocation, Iverstown]
-
A.
Stewartstown
Stewartstown is a small village in County Tyrone, Northern Ireland, known for its rural character and historic market-town origins.
-
B.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
C.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
D.
Culvertown
Culvertown is a small unincorporated community located in Nelson County, Kentucky, known for its rural character and historic Catholic roots.
-
E.
Longaville
Longaville is one of the three lords attending King Navarre in Shakespeare’s comedy *Love’s Labour’s Lost*, known for his vow of scholarly abstinence that is soon undermined by love.
- 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: Iverstown Triple: [The Strange Love of Martha Ivers, narrativeLocation, Iverstown]
Generated description
Iverstown is the fictional, gloomy industrial town that serves as the central setting in the film noir drama "The Strange Love of Martha Ivers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iverstown Target entity description: Iverstown is the fictional, gloomy industrial town that serves as the central setting in the film noir drama "The Strange Love of Martha Ivers."
-
A.
Stewartstown
Stewartstown is a small village in County Tyrone, Northern Ireland, known for its rural character and historic market-town origins.
-
B.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
C.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
D.
Culvertown
Culvertown is a small unincorporated community located in Nelson County, Kentucky, known for its rural character and historic Catholic roots.
-
E.
Longaville
Longaville is one of the three lords attending King Navarre in Shakespeare’s comedy *Love’s Labour’s Lost*, known for his vow of scholarly abstinence that is soon undermined by love.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b737788190bfadd0d48ad38f5b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8444c48819095100c6d1d45ccc7 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcae243c819095a2e791716805bd |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd3495fc8190a093d2536cfbe58a |
completed | April 9, 2026, 1:13 a.m. |
Created at: April 6, 2026, 11:40 a.m.