Triple
T15625490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The To Do List |
E375665
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Eric Kissack |
E348268
|
NE FINISHED |
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: Eric Kissack | Statement: [The To Do List, editedBy, Eric Kissack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Kissack Context triple: [The To Do List, editedBy, Eric Kissack]
-
A.
Eric Kissack
chosen
Eric Kissack is an American film editor and director known for his work on feature films and television comedies.
-
B.
Eric Schickler
Eric Schickler is an American political scientist known for his influential scholarship on U.S. political institutions and party development, particularly in the mid-20th century.
-
C.
Alex Kerner
Alex Kerner is the idealistic young protagonist of the German film "Good Bye, Lenin!", who stages an elaborate ruse to protect his fragile mother from learning about the fall of East Germany.
-
D.
Eric Pleskow
Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
-
E.
Michael Lucker
Michael Lucker is an American screenwriter known for his work on animated and family films, including contributions to Disney projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75655c948190aa1afa424e5270d1 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:14 a.m.