Triple
T20900768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman: Gotham Knight |
E514661
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Joe Gall
Joe Gall is a film editor known for his work on the animated anthology movie "Batman: Gotham Knight."
|
E1456597
|
NE FINISHED |
How this triple was built (4 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: Joe Gall | Statement: [Batman: Gotham Knight, editedBy, Joe Gall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Gall Context triple: [Batman: Gotham Knight, editedBy, Joe Gall]
-
A.
Philip Dimmitt
Philip Dimmitt was a Texian military and political leader during the Texas Revolution, noted for his prominent role in early revolutionary activities and command responsibilities.
-
B.
Gary O'Toole
Gary O'Toole is an English drummer and educator best known for his work with guitarist Steve Hackett and his contributions to progressive rock music.
-
C.
Joe Kolsky
Joe Kolsky was a music industry figure best known as the founder of the American record label Roulette Records.
-
D.
Jo Brashear
Jo Brashear is a key supporting character in the film "Men of Honor," portrayed as the devoted and resilient wife of pioneering Navy diver Carl Brashear.
-
E.
Carl Gallagher
Carl Gallagher is a troublemaking yet surprisingly resourceful youngest son of the Gallagher family in the U.S. version of the dramedy series "Shameless."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joe Gall Triple: [Batman: Gotham Knight, editedBy, Joe Gall]
Generated description
Joe Gall is a film editor known for his work on the animated anthology movie "Batman: Gotham Knight."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Gall Target entity description: Joe Gall is a film editor known for his work on the animated anthology movie "Batman: Gotham Knight."
-
A.
Philip Dimmitt
Philip Dimmitt was a Texian military and political leader during the Texas Revolution, noted for his prominent role in early revolutionary activities and command responsibilities.
-
B.
Gary O'Toole
Gary O'Toole is an English drummer and educator best known for his work with guitarist Steve Hackett and his contributions to progressive rock music.
-
C.
Joe Kolsky
Joe Kolsky was a music industry figure best known as the founder of the American record label Roulette Records.
-
D.
Jo Brashear
Jo Brashear is a key supporting character in the film "Men of Honor," portrayed as the devoted and resilient wife of pioneering Navy diver Carl Brashear.
-
E.
Carl Gallagher
Carl Gallagher is a troublemaking yet surprisingly resourceful youngest son of the Gallagher family in the U.S. version of the dramedy series "Shameless."
- F. None of above. chosen
Provenance (5 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fa5228819084341dbc813cc1e3 |
completed | April 21, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918d2b7708190acbcd7cdbb33dd23 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a0919ffc9c081908adb502908bfcc84 |
completed | May 17, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091a6dc2c8819090618097438a2c00 |
completed | May 17, 2026, 1:31 a.m. |
Created at: April 16, 2026, 12:47 p.m.