Triple
T9802913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denny Colt |
E237882
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object | Ellen Dolan |
E241918
|
NE FINISHED |
How this triple was built (2 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: Ellen Dolan | Statement: [Denny Colt, hasLoveInterest, Ellen Dolan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Dolan Context triple: [Denny Colt, hasLoveInterest, Ellen Dolan]
-
A.
Ellen Dolan
chosen
Ellen Dolan is a central supporting character in the 2008 film "The Spirit," portrayed as the strong-willed daughter of the city's police commissioner and a key figure in the hero's personal life.
-
B.
Colleen Miller
Colleen Miller is an American actress known for her film and television roles during the 1950s.
-
C.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
D.
Margaret Cuomo
Margaret Cuomo is an American radiologist, author, and health advocate known for her work in cancer prevention and public health education.
-
E.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab78832481909b184b21a8a46e50 |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc53c3dc819084a4d8b72164a172 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:29 p.m.