Triple
T33350080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Kittridge |
E853909
|
entity |
| Predicate | portrayedByIn1996Film |
P9616
|
FINISHED |
| Object | Henry Czerny |
—
|
NE NERFINISHED |
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: Henry Czerny | Statement: [Eugene Kittridge, portrayedByIn1996Film, Henry Czerny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByIn1996Film Context triple: [Eugene Kittridge, portrayedByIn1996Film, Henry Czerny]
-
A.
portrayedByIn1997Film
Indicates that one entity served as the actor or performer portraying the other entity in a film released in the year 1997.
-
B.
portrayedByIn2003Film
Indicates that one entity was portrayed by a particular actor in a film released in 2003.
-
C.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
D.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
E.
portrayedIn1953FilmBy
Indicates that an entity (typically a person or character) was depicted or played by another entity in a film released in the year 1953.
- F. None of above.
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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 1, 2026, 1:34 a.m.