Triple
T5743121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasse Hallström |
E126661
|
entity |
| Predicate | directedFilm |
P13455
|
FINISHED |
| Object | Dear John |
E230776
|
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: Dear John | Statement: [Lasse Hallström, directedFilm, Dear John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear John Context triple: [Lasse Hallström, directedFilm, Dear John]
-
A.
Dear John
chosen
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
-
B.
Dear John Letter
"Dear John Letter" is a song from Whitney Houston's 2002 album "Just Whitney," reflecting themes of heartbreak and the end of a relationship.
-
C.
Dear One
"Dear One" is a song from the musical "Kiss of the Spider Woman," known for its emotional depth and contribution to the show's dramatic narrative.
-
D.
Dear Love
"Dear Love" is a musical number from the Broadway show "Flora the Red Menace," which marked Liza Minnelli’s Tony-winning debut.
-
E.
Dear Boy
"Dear Boy" is a song by the Indian musician Ram.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025852a2c819080521e5b98c00bdc |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097f9b6e08190bb68ea850ba813ff |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:48 p.m.