Triple
T16620179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Ratner |
E403802
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Demany |
E929285
|
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: Demany | Statement: [Howard Ratner, associatedWith, Demany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demany Context triple: [Howard Ratner, associatedWith, Demany]
-
A.
Demany
chosen
Demany is a fast-talking, street-connected middleman character from the film "Uncut Gems," known for linking high-profile clients to the protagonist's jewelry business.
-
B.
Demai
Demai is a tractate of the Mishnah in Seder Zeraim that deals with agricultural produce of uncertain tithing status and the related laws of separating tithes.
-
C.
Derr
Derr is an ancient Egyptian site in Lower Nubia known for its rock-cut temple built by Pharaoh Ramesses II.
-
D.
Duberge
Duberge is a residential neighborhood located within the Les Rivières borough of Quebec City, Canada.
-
E.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.