Triple
T28116022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One I Love |
E710630
|
entity |
| Predicate | leadActorOfCharacterEthan |
P9616
|
FINISHED |
| Object | Mark Duplass |
—
|
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: Mark Duplass | Statement: [The One I Love, leadActorOfCharacterEthan, Mark Duplass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorOfCharacterEthan Context triple: [The One I Love, leadActorOfCharacterEthan, Mark Duplass]
-
A.
leadActorEthnicity
Indicates the ethnic background or identity of the primary (lead) actor in a work.
-
B.
leadActorForCharacterDanny
Indicates that a person is the primary actor portraying the character named Danny in a production.
-
C.
leadActorForCharacter Philip Shayne
Indicates that the specified person is the primary actor portraying the character Philip Shayne.
-
D.
leadActorNickname
Indicates that one entity is the nickname used for the lead actor of another entity (such as a film, show, or production).
-
E.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 9:14 p.m.