Triple
T32456473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Outfit |
E829440
|
entity |
| Predicate | characterPortrayedByJoeDonBaker |
P198391
|
FINISHED |
| Object | Cody |
—
|
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: Cody | Statement: [The Outfit, characterPortrayedByJoeDonBaker, Cody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByJoeDonBaker Context triple: [The Outfit, characterPortrayedByJoeDonBaker, Cody]
-
A.
characterPortrayedByBillyDeWolfe
Indicates that a given character is portrayed or voiced by the actor Billy DeWolfe.
-
B.
leadActorForCharacter Joe Barrett
Indicates that the specified person is the primary actor portraying the character Joe Barrett.
-
C.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
-
D.
sonCharacterPortrayedBy
Indicates that a person is the actor who portrays a specific son character in a work of fiction.
-
E.
characterPortrayedByHenryStephenson
Indicates that a character is portrayed or played by the actor Henry Stephenson.
- F. None of above. chosen
Provenance (4 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
| PDg | Predicate description generation | batch_69fee0b03a0c81909117dc5915d77295 |
completed | May 9, 2026, 7:22 a.m. |
Created at: May 1, 2026, 12:56 a.m.