Triple
T17302524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eve Marder |
E420074
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Eve
Eve is a feminine given name of Hebrew origin, traditionally associated with the biblical first woman and often interpreted to mean "life" or "living."
|
E9796
|
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: Eve | Statement: [Eve Marder, givenName, Eve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eve Context triple: [Eve Marder, givenName, Eve]
-
A.
Eve
Eve is one of the immortal, cultured vampire protagonists in Jim Jarmusch’s film "Only Lovers Left Alive," known for her wisdom, serenity, and deep love for her partner Adam.
-
B.
Eve
Eve is a cigarette brand historically marketed by Liggett & Myers, known for its slim, fashion-oriented design targeting women smokers.
-
C.
Eve
Eve is the central protagonist of the film "Life-Size," a fashion doll magically brought to life who must navigate the real world while helping a young girl cope with personal challenges.
-
D.
Eve
Eve is a central character in the 1998 science fiction horror film "Species II," depicted as a genetically engineered human-alien hybrid whose existence threatens humanity.
-
E.
Eve
Eve is the central protagonist of the film "Interiors," around whom the story’s emotional and psychological tensions revolve.
- 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: Eve Triple: [Eve Marder, givenName, Eve]
Generated description
Eve is a feminine given name of Hebrew origin, traditionally associated with the biblical first woman and often interpreted to mean "life" or "living."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eve Target entity description: Eve is a feminine given name of Hebrew origin, traditionally associated with the biblical first woman and often interpreted to mean "life" or "living."
-
A.
Eve
chosen
Eve is the biblical first woman in the Book of Genesis, whose disobedience in Eden is traditionally associated with the origin of human sinfulness.
-
B.
Eve
Eve is an American rapper, singer, and actress best known for her late-1990s and early-2000s hip-hop hits and her affiliation with the Ruff Ryders collective.
-
C.
Eve
Eve is a bronze sculpture by Auguste Rodin depicting the biblical figure at the moment of shame and awakening after the Fall.
-
D.
Eve
Eve is a cigarette brand historically marketed by Liggett & Myers, known for its slim, fashion-oriented design targeting women smokers.
-
E.
Eve
Eve is a surname most notably borne by British actor Trevor Eve.
- F. None of above.
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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fba938819084333764b868bd83 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180de8340819081eae1104d705de0 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0181ae2d588190a4ff68094529a994 |
completed | May 11, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0182ccd104819088569cf0be87b4d3 |
completed | May 11, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:41 a.m.