Triple
T957702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thread |
E20659
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object |
Thread Group
Thread Group is an organization responsible for developing and maintaining standards related to threads and threading systems.
|
E111865
|
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: Thread Group | Statement: [Thread, standardizedBy, Thread Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thread Group Context triple: [Thread, standardizedBy, Thread Group]
-
A.
easyGroup
easyGroup is a British private investment company best known for owning the "easy" family of brands, including the low-cost airline easyJet.
-
B.
Teams
Teams is Microsoft's cloud-based collaboration and communication platform that integrates chat, video meetings, file sharing, and app integrations for organizations.
-
C.
Graphics Group
Graphics Group was the computer graphics division of Lucasfilm that evolved into the pioneering animation studio later known as Pixar.
-
D.
Operational Groups
Operational Groups were elite paramilitary units of the U.S. Office of Strategic Services in World War II that conducted behind-the-lines sabotage, guerrilla warfare, and support to resistance movements.
-
E.
GRPM
GRPM is a regional museum in Grand Rapids, Michigan, known for its exhibits on local history, science, and culture.
- 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: Thread Group Triple: [Thread, standardizedBy, Thread Group]
Generated description
Thread Group is an organization responsible for developing and maintaining standards related to threads and threading systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thread Group Target entity description: Thread Group is an organization responsible for developing and maintaining standards related to threads and threading systems.
-
A.
easyGroup
easyGroup is a British private investment company best known for owning the "easy" family of brands, including the low-cost airline easyJet.
-
B.
Teams
Teams is Microsoft's cloud-based collaboration and communication platform that integrates chat, video meetings, file sharing, and app integrations for organizations.
-
C.
Graphics Group
Graphics Group was the computer graphics division of Lucasfilm that evolved into the pioneering animation studio later known as Pixar.
-
D.
Operational Groups
Operational Groups were elite paramilitary units of the U.S. Office of Strategic Services in World War II that conducted behind-the-lines sabotage, guerrilla warfare, and support to resistance movements.
-
E.
GRPM
GRPM is a regional museum in Grand Rapids, Michigan, known for its exhibits on local history, science, and culture.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3fac2bc8190a66feb70c68899b2 |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933b259d08190b03989e2b1575085 |
completed | March 5, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69a93e872ac4819098fd5d58ce4e5946 |
completed | March 5, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a94f56518c8190b20f30f9d220c101 |
completed | March 5, 2026, 9:39 a.m. |
Created at: March 1, 2026, 7:40 p.m.