Triple
T8153938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Lake |
E190396
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Mary
Mary is the main love interest of Tim Lake in the romantic comedy film "About Time."
|
E222863
|
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: Mary | Statement: [Tim Lake, loveInterest, Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Context triple: [Tim Lake, loveInterest, Mary]
-
A.
Mary
Mary is a central figure in Christianity, venerated as the mother of Jesus and often honored as the Virgin Mary.
-
B.
Mary
Mary is the given first name of Margaret Truman, the daughter of U.S. President Harry S. Truman and a noted author and singer.
-
C.
Mary
Mary is the given name of the American suspense novelist Mary Higgins Clark, known for her bestselling mystery and thriller books.
-
D.
Mary
Mary is the middle name of Katherine Mary Dewar, a component of her full personal name.
-
E.
Mary
Mary Allerton was a Mayflower passenger and one of the early settlers of Plymouth Colony in 17th-century New England.
- 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: Mary Triple: [Tim Lake, loveInterest, Mary]
Generated description
Mary is the main love interest of Tim Lake in the romantic comedy film "About Time."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mary Target entity description: Mary is the main love interest of Tim Lake in the romantic comedy film "About Time."
-
A.
Mary
chosen
Mary is a central character in the romantic comedy film "About Time," known for her warm, quirky personality and her relationship with the time-traveling protagonist.
-
B.
Mary
Mary is a central character in W. H. Auden’s long poem "For the Time Being," which reimagines the Nativity story in a modern, philosophical context.
-
C.
Mary
Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
-
D.
Mary
Mary (Polly) Prince is a fictional character best known as the free-spirited, adventurous love interest played by Jennifer Aniston in the romantic comedy film "Along Came Polly."
-
E.
Mary
Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44d566b08190a6bb672f9c368806 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced3839b4819081a811fcebc51ff7 |
completed | April 1, 2026, 10:02 a.m. |
| NEDg | Description generation | batch_69ccf09a952c8190ace6a9f0012ad90a |
completed | April 1, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd055292088190927046793cec1c36 |
completed | April 1, 2026, 11:45 a.m. |
Created at: March 30, 2026, 5:37 p.m.