Triple
T14464563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimm |
E358672
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | David Greenwalt |
E429714
|
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: David Greenwalt | Statement: [Grimm, creator, David Greenwalt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Greenwalt Context triple: [Grimm, creator, David Greenwalt]
-
A.
David Greenwalt
chosen
David Greenwalt is an American television producer, writer, and director best known for his work on genre series such as Buffy the Vampire Slayer and its spin-off Angel.
-
B.
Joshua Cohen
Joshua Cohen is an American political philosopher known for his work on democratic theory, deliberative democracy, and justice, often engaging with and extending the ideas of John Rawls.
-
C.
David Ebershoff
David Ebershoff is an American author and editor best known for his novel "The Danish Girl," which was adapted into an acclaimed feature film.
-
D.
Adam Haslett
Adam Haslett is an American author and journalist known for his critically acclaimed fiction exploring themes of mental illness, family, and contemporary politics.
-
E.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91ad67bc81908ecdaa7262f6dc55 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64973dc08190ab893c95ea3f066c |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.