Triple
T10339873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Roizman |
E243100
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Network |
E300953
|
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: Network | Statement: [Owen Roizman, notableWork, Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Network Context triple: [Owen Roizman, notableWork, Network]
-
A.
Network
chosen
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
-
B.
Networker
Networker is a family of electric and diesel multiple-unit trains used on suburban and regional rail services in southeast England.
-
C.
Type Network
Type Network is a collaborative type foundry and distribution platform that offers a curated collection of high-quality digital fonts from independent designers and foundries.
-
D.
NET
NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
-
E.
NET
NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e0a526a08190afe7091a0cf1f073 |
completed | April 7, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7506a07888190b91e78247e81fe57 |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:54 a.m.