Triple
T32988224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PS/2 |
E844005
|
entity |
| Predicate | includedModelSeries |
P39689
|
FINISHED |
| Object |
PS/2 Model 25
The PS/2 Model 25 is an entry-level IBM personal computer from the late 1980s, notable for its all-in-one design aimed at education and home users.
|
E2032413
|
NE FINISHED |
How this triple was built (3 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: PS/2 Model 25 | Statement: [PS/2, includedModelSeries, PS/2 Model 25]
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: PS/2 Model 25 Triple: [PS/2, includedModelSeries, PS/2 Model 25]
Generated description
The PS/2 Model 25 is an entry-level IBM personal computer from the late 1980s, notable for its all-in-one design aimed at education and home users.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedModelSeries Context triple: [PS/2, includedModelSeries, PS/2 Model 25]
-
A.
hasModelSeries
chosen
Indicates a relationship where an item or product is associated with a specific model series it belongs to.
-
B.
includesModelsFrom
Indicates that one collection, set, or group contains models that originate from or are derived from another source or collection.
-
C.
introducedModelFamily
Indicates that an entity (such as a person or organization) is responsible for first presenting or launching a particular model family.
-
D.
notableModelFamily
Indicates that one entity is a prominent or widely recognized model family associated with, produced by, or otherwise notably linked to another entity.
-
E.
carModel
Indicates the specific model designation of a car within a particular make or brand.
- F. None of above.
Provenance (6 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0227ce59a081909fe1ba1181d86b4d |
completed | May 11, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34dac2ea9481909e110a64206e2b63 |
completed | June 19, 2026, 5:59 a.m. |
| NEDg | Description generation | batch_6a34db6329708190a5dfa86c7b717094 |
completed | June 19, 2026, 6:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34dc60dfcc819089a4abdaebeb4dd6 |
completed | June 19, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_6a02273989208190beb948b8c7bdaee3 |
completed | May 11, 2026, 7 p.m. |
Created at: May 1, 2026, 1:22 a.m.