Triple
T8994668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoffmann |
E214872
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object | Stella |
unclear NED1
|
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: Stella | Statement: [Hoffmann, hasLoveInterest, Stella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stella Context triple: [Hoffmann, hasLoveInterest, Stella]
-
A.
Stella
Stella is a 1955 Greek drama film directed by Michael Cacoyannis, renowned for its tragic story of a fiercely independent woman and its iconic performance by Melina Mercouri.
-
B.
Stella
Stella is an American comedy trio and sketch group best known for its absurdist humor and for featuring comedians Michael Ian Black, Michael Showalter, and David Wain.
-
C.
Stella
Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
-
D.
Stella
Stella is a small municipality in the Liguria region of northwestern Italy, situated in the hilly inland area near the Ligurian coast.
-
E.
Stella
Stella is a 1990 American drama film, written by Robert Getchell and starring Bette Midler, about a working-class mother who sacrifices everything for her daughter's future.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb5b88d48190b684c43cc88d8438 |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:04 p.m.