Triple
T6789952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Photoshop |
E155906
|
entity |
| Predicate | fileFormatSupport |
P8463
|
FINISHED |
| Object |
PSD
PSD is Adobe Photoshop’s native layered image file format, widely used in professional graphic design and photo editing for preserving complex edits and high-quality visual data.
|
E618922
|
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: PSD | Statement: [Adobe Photoshop, fileFormatSupport, PSD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PSD Context triple: [Adobe Photoshop, fileFormatSupport, PSD]
-
A.
PSD
PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
-
B.
PSD
PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
-
C.
PSF
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
-
D.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
E.
PDS
PDS is the IATA airport code for the international airport serving Piedras Negras in the Mexican state of Coahuila.
- 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: PSD Triple: [Adobe Photoshop, fileFormatSupport, PSD]
Generated description
PSD is Adobe Photoshop’s native layered image file format, widely used in professional graphic design and photo editing for preserving complex edits and high-quality visual data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PSD Target entity description: PSD is Adobe Photoshop’s native layered image file format, widely used in professional graphic design and photo editing for preserving complex edits and high-quality visual data.
-
A.
PSD
PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
-
B.
PSD
PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
-
C.
PSF
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
-
D.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
E.
PDS
PDS is the IATA airport code for the international airport serving Piedras Negras in the Mexican state of Coahuila.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ab4ce88190b6311e4d5aac758c |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b186238819096ef6162f9068543 |
completed | March 28, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71b98b8008190a972cc0a215295c0 |
completed | March 28, 2026, 12:06 a.m. |
Created at: March 27, 2026, 2:15 p.m.