Triple
T14046516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugly Kid Joe |
E337969
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dave Fortman |
E700521
|
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: Dave Fortman | Statement: [Ugly Kid Joe, hasPart, Dave Fortman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Fortman Context triple: [Ugly Kid Joe, hasPart, Dave Fortman]
-
A.
Josh Futturman
Josh Futturman is the slacker janitor-turned-time-traveling hero played by Josh Hutcherson in the sci-fi comedy series "Future Man."
-
B.
David Fortman
chosen
David Fortman is a music producer known for his work on the album "Tissues and Issues."
-
C.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
-
D.
Andrew Cividino
Andrew Cividino is a Canadian film and television director best known for his work on the acclaimed comedy series "Schitt's Creek."
-
E.
Andrew Mittman
Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2818ec8190ae926a0ffdeb7bb7 |
completed | May 9, 2026, 3 p.m. |
Created at: April 9, 2026, 10:20 p.m.