Triple
T9198502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Demme |
E220776
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Demme |
E345205
|
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: Demme | Statement: [Ted Demme, familyName, Demme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demme Context triple: [Ted Demme, familyName, Demme]
-
A.
Demme
chosen
Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
-
B.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
C.
Meent
Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
-
D.
Hemulen
Hemulen is a character from Tove Jansson’s Moomin series, typically portrayed as a tall, earnest, and somewhat pedantic creature obsessed with hobbies like stamp collecting and botany.
-
E.
Ourém
Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c40267c8190926f4d5c912d0f45 |
completed | April 4, 2026, 12:33 a.m. |
Created at: March 30, 2026, 7:25 p.m.