Triple
T27945866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NetBIOS API |
E700876
|
entity |
| Predicate | historicallyUsedBy |
P2834
|
FINISHED |
| Object |
IBM PC LAN programs
IBM PC LAN programs were early local area network software packages for IBM personal computers that enabled file and printer sharing, user management, and communication over PC-based networks.
|
E1798394
|
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: IBM PC LAN programs | Statement: [NetBIOS API, historicallyUsedBy, IBM PC LAN programs]
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: IBM PC LAN programs Triple: [NetBIOS API, historicallyUsedBy, IBM PC LAN programs]
Generated description
IBM PC LAN programs were early local area network software packages for IBM personal computers that enabled file and printer sharing, user management, and communication over PC-based networks.
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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63ad18cb48190aafdf938b5978b37 |
completed | May 2, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a13116295d881909632f7fa9eee9254 |
completed | May 24, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a1311f106748190b256e38ceb2481f2 |
completed | May 24, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a159f7e09a88190a7e25e30dfd87d3d |
completed | May 26, 2026, 1:26 p.m. |
Created at: April 27, 2026, 7:22 p.m.