Triple
T275063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Nevis |
E5227
|
entity |
| Predicate | hasListing |
P1278
|
FINISHED |
| Object |
Marilyn
A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
|
E35887
|
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: Marilyn | Statement: [Ben Nevis, hasListing, Marilyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marilyn Context triple: [Ben Nevis, hasListing, Marilyn]
-
A.
Marilyn Monroe
Marilyn Monroe was an iconic American actress, model, and sex symbol of the mid-20th century, renowned for her comedic roles, glamorous image, and enduring cultural legacy.
-
B.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Norma
Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
-
E.
Gloria Vanderbilt
Gloria Vanderbilt was an American artist, socialite, fashion designer, and heiress renowned for her influential designer jeans line and prominent role in 20th-century high society.
- 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: Marilyn Triple: [Ben Nevis, hasListing, Marilyn]
Generated description
A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marilyn Target entity description: A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
-
A.
Marilyn Monroe
Marilyn Monroe was an iconic American actress, model, and sex symbol of the mid-20th century, renowned for her comedic roles, glamorous image, and enduring cultural legacy.
-
B.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Norma
Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
-
E.
Gloria Vanderbilt
Gloria Vanderbilt was an American artist, socialite, fashion designer, and heiress renowned for her influential designer jeans line and prominent role in 20th-century high society.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dd1cdf881909c2c9b77b7f88684 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a391506e2881909fa399aab00d3ac9 |
completed | March 1, 2026, 1:07 a.m. |
| NEDg | Description generation | batch_69a391bb35bc8190b0c84968c156439b |
completed | March 1, 2026, 1:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a39217ae2c819082fef73a105edf7d |
completed | March 1, 2026, 1:10 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.