Triple
T32456472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Outfit |
E829440
|
entity |
| Predicate | characterPortrayedByRobertDuvall |
P198362
|
FINISHED |
| Object | Earl Macklin |
—
|
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: Earl Macklin | Statement: [The Outfit, characterPortrayedByRobertDuvall, Earl Macklin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByRobertDuvall Context triple: [The Outfit, characterPortrayedByRobertDuvall, Earl Macklin]
-
A.
characterPortrayedByRobertNewton
Indicates that a character is portrayed or played by the actor Robert Newton.
-
B.
characterVoicedBy Christopher Plummer
Indicates that a character is voiced by Christopher Plummer in a performance or production.
-
C.
characterPlayedBy Robert Taylor
Indicates that a given character is portrayed or acted by Robert Taylor.
-
D.
characterPlayedByRichardHarris
Indicates that the subject is a character that was portrayed by the actor Richard Harris.
-
E.
characterVoicedBy_James Brolin
Indicates that a character is voiced by James Brolin in a performance or production.
- 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_69fedfd913f48190bdcd450980868d9a |
completed | May 9, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fedf58c6e88190821a7156054c9086 |
completed | May 9, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69fedfd850ec81909b55f90dc850167e |
completed | May 9, 2026, 7:18 a.m. |
Created at: May 1, 2026, 12:56 a.m.