Triple
T10285185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Strange Love of Martha Ivers |
E241208
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Martha Ivers
Martha Ivers is the central, morally complex heiress and femme fatale in the 1946 film noir "The Strange Love of Martha Ivers."
|
E854717
|
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: Martha Ivers | Statement: [The Strange Love of Martha Ivers, featuresCharacter, Martha Ivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Ivers Context triple: [The Strange Love of Martha Ivers, featuresCharacter, Martha Ivers]
-
A.
Martha Huggins
Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
-
B.
Martha West
Martha West is an actress known for her role in the British television drama series "Creation."
-
C.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
D.
Martha Love
Martha Love was a benefactor whose support and legacy are honored through the naming of the Martha and Spencer Love School of Business.
-
E.
Martha Williamson
Martha Williamson is an American television producer and writer best known for developing and leading the hit inspirational drama series "Touched by an Angel."
- 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: Martha Ivers Triple: [The Strange Love of Martha Ivers, featuresCharacter, Martha Ivers]
Generated description
Martha Ivers is the central, morally complex heiress and femme fatale in the 1946 film noir "The Strange Love of Martha Ivers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martha Ivers Target entity description: Martha Ivers is the central, morally complex heiress and femme fatale in the 1946 film noir "The Strange Love of Martha Ivers."
-
A.
Martha Huggins
Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
-
B.
Martha West
Martha West is an actress known for her role in the British television drama series "Creation."
-
C.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
D.
Martha Love
Martha Love was a benefactor whose support and legacy are honored through the naming of the Martha and Spencer Love School of Business.
-
E.
Martha Williamson
Martha Williamson is an American television producer and writer best known for developing and leading the hit inspirational drama series "Touched by an Angel."
- 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_69d71d0b40d081908eb3f7ba24352a42 |
completed | April 9, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69d71f78bbd88190b0c7829f3541cedb |
completed | April 9, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7319f699881909a1e0dba5f5ffb06 |
completed | April 9, 2026, 4:57 a.m. |
Created at: April 6, 2026, 11:40 a.m.