Triple
T2792345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU Binutils |
E61957
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
windmc
windmc is a GNU Binutils utility used to compile Windows message (MC) files into resource and header files for use in Windows applications.
|
E299172
|
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: windmc | Statement: [GNU Binutils, contains, windmc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: windmc Context triple: [GNU Binutils, contains, windmc]
-
A.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
B.
Wolken
Wolken is a philosophical work by the 18th-century German thinker Johann Georg Hamann, reflecting his characteristically critical and religiously grounded response to Enlightenment rationalism.
-
C.
Williamsen
Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
-
D.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
E.
White Wolf
White Wolf is the alias given to Bucky Barnes during his time in Wakanda in the Marvel Cinematic Universe, reflecting his rebirth as a rehabilitated warrior and ally.
- 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: windmc Triple: [GNU Binutils, contains, windmc]
Generated description
windmc is a GNU Binutils utility used to compile Windows message (MC) files into resource and header files for use in Windows applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: windmc Target entity description: windmc is a GNU Binutils utility used to compile Windows message (MC) files into resource and header files for use in Windows applications.
-
A.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
B.
Wolken
Wolken is a philosophical work by the 18th-century German thinker Johann Georg Hamann, reflecting his characteristically critical and religiously grounded response to Enlightenment rationalism.
-
C.
Williamsen
Williamsen is a surname variant of Williamson, typically arising from regional or linguistic differences in spelling.
-
D.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
E.
White Wolf
White Wolf is the alias given to Bucky Barnes during his time in Wakanda in the Marvel Cinematic Universe, reflecting his rebirth as a rehabilitated warrior and ally.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd107ac81908eb1a6946834eee3 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc65ebe788190859012e930918b05 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc6c6c620819098b76db174a6f98e |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc72b2e3c8190aad78ac8924f07af |
completed | March 10, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:58 p.m.