Triple
T5676174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entergalactic |
E125090
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ian Edelman |
E538149
|
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: Ian Edelman | Statement: [Entergalactic, writer, Ian Edelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Edelman Context triple: [Entergalactic, writer, Ian Edelman]
-
A.
Ian Edelman
chosen
Ian Edelman is a writer and producer best known for creating the animated musical television special "Entergalactic" in collaboration with Kid Cudi.
-
B.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
C.
David Heitner
David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
-
D.
Matt Greenberg
Matt Greenberg is a screenwriter and film producer known for his work on various horror and thriller projects in American cinema.
-
E.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023728f488190a3622844d78caa13 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3211b08190868811db3d5268b1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:43 p.m.