Triple
T13602026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVD Forum |
E324965
|
entity |
| Predicate | hasWorkingGroup |
P1382
|
FINISHED |
| Object |
WG-5
WG-5 is a technical working group within the DVD Forum responsible for developing and maintaining specific standards and specifications related to DVD technology.
|
E1053137
|
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: WG-5 | Statement: [DVD Forum, hasWorkingGroup, WG-5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WG-5 Context triple: [DVD Forum, hasWorkingGroup, WG-5]
-
A.
WG-1
WG-1 is a technical working group within the DVD Forum responsible for developing and maintaining core DVD format specifications.
-
B.
WZL-5
WZL-5 is a major Polish aerospace and defense maintenance and repair facility specializing in the overhaul and modernization of military aircraft and helicopters.
-
C.
W-53
The W-53 was a high-yield American thermonuclear warhead developed during the Cold War and deployed on Titan II intercontinental ballistic missiles.
-
D.
W-5
W-5 is the highest warrant officer pay grade in the U.S. military, reserved for the most senior and experienced warrant officers.
-
E.
MWSG-37
MWSG-37 is a United States Marine Corps aviation ground support unit that provides essential logistical and engineering support to Marine aircraft wings.
- 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: WG-5 Triple: [DVD Forum, hasWorkingGroup, WG-5]
Generated description
WG-5 is a technical working group within the DVD Forum responsible for developing and maintaining specific standards and specifications related to DVD technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WG-5 Target entity description: WG-5 is a technical working group within the DVD Forum responsible for developing and maintaining specific standards and specifications related to DVD technology.
-
A.
WG-1
WG-1 is a technical working group within the DVD Forum responsible for developing and maintaining core DVD format specifications.
-
B.
WZL-5
WZL-5 is a major Polish aerospace and defense maintenance and repair facility specializing in the overhaul and modernization of military aircraft and helicopters.
-
C.
W-53
The W-53 was a high-yield American thermonuclear warhead developed during the Cold War and deployed on Titan II intercontinental ballistic missiles.
-
D.
W-5
W-5 is the highest warrant officer pay grade in the U.S. military, reserved for the most senior and experienced warrant officers.
-
E.
MWSG-37
MWSG-37 is a United States Marine Corps aviation ground support unit that provides essential logistical and engineering support to Marine aircraft wings.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae394748190b6a0f9a085b7dea6 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6f02c48190a8f3bc4cb71910a0 |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:49 p.m.