Triple
T6962012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Fonts |
E161389
|
entity |
| Predicate | includesFoundry |
P73805
|
FINISHED |
| Object |
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.
|
E630489
|
NE FINISHED |
How this triple was built (4 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: Type Network | Statement: [Adobe Fonts, includesFoundry, Type Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Type Network Context triple: [Adobe Fonts, includesFoundry, Type Network]
-
A.
Network
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.
NET
NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
-
D.
NET
NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
-
E.
NET
NET is the NCAA’s primary ranking system used to evaluate and seed college basketball teams for postseason tournaments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Type Network Triple: [Adobe Fonts, includesFoundry, Type Network]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Type Network Target entity description: 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.
-
A.
Network
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.
NET
NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
-
D.
NET
NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
-
E.
NET
NET is the NCAA’s primary ranking system used to evaluate and seed college basketball teams for postseason tournaments.
- F. None of above. chosen
Provenance (5 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d144648190b7e6558246b013e3 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7589c587c8190b97523b5ac2ab958 |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c759553fe081909881c8d2ae680dfe |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759c79de48190bd3e079c07a9158a |
completed | March 28, 2026, 4:32 a.m. |
Created at: March 27, 2026, 2:30 p.m.