Triple
T29435305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Affleck as George Reeves |
E746553
|
entity |
| Predicate | editingOfWorkBy |
P167170
|
FINISHED |
| Object | Michael Berenbaum |
—
|
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: Michael Berenbaum | Statement: [Ben Affleck as George Reeves, editingOfWorkBy, Michael Berenbaum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editingOfWorkBy Context triple: [Ben Affleck as George Reeves, editingOfWorkBy, Michael Berenbaum]
-
A.
editorOfWork
Indicates that one entity serves as the editor responsible for preparing, revising, or overseeing the content of a particular work.
-
B.
coEditedWork
Indicates that two or more entities jointly served as editors of the same work.
-
C.
editingProcess
Indicates the process by which content is reviewed, modified, and refined to improve clarity, accuracy, or quality.
-
D.
basedOnWorkEdited
Indicates that one entity is derived from, adapted from, or otherwise created on the basis of a work that another entity has edited.
-
E.
editingIs
Indicates that one entity is performing or undergoing the process of editing another entity.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66accf77c81908f0f4c1a67e05e47 |
completed | May 2, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:16 p.m.