Triple
T6031391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Draper Catalogue |
E134310
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
HD Catalogue
The HD Catalogue is a widely used astronomical star catalog that lists spectral classifications and positions for over 225,000 stars.
|
E564029
|
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: HD Catalogue | Statement: [Henry Draper Catalogue, hasAlternativeName, HD Catalogue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HD Catalogue Context triple: [Henry Draper Catalogue, hasAlternativeName, HD Catalogue]
-
A.
HDtracks
HDtracks is a high-resolution digital music download store known for offering audiophile-quality albums in lossless formats.
-
B.
Film Vault
Film Vault is a themed retail shop at Universal Studios Florida that sells movie-related merchandise inspired by classic and popular Universal films.
-
C.
SVT Play
SVT Play is Sweden’s national public service broadcaster’s online streaming platform, offering on-demand and live TV content.
-
D.
Movies on Demand
Movies on Demand is a film or video project associated with the band Consequence, likely serving as a notable visual or multimedia extension of their music.
-
E.
Vudu
Vudu is a music producer known for working on tracks such as those by The Red Light District.
- 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: HD Catalogue Triple: [Henry Draper Catalogue, hasAlternativeName, HD Catalogue]
Generated description
The HD Catalogue is a widely used astronomical star catalog that lists spectral classifications and positions for over 225,000 stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HD Catalogue Target entity description: The HD Catalogue is a widely used astronomical star catalog that lists spectral classifications and positions for over 225,000 stars.
-
A.
HDtracks
HDtracks is a high-resolution digital music download store known for offering audiophile-quality albums in lossless formats.
-
B.
Film Vault
Film Vault is a themed retail shop at Universal Studios Florida that sells movie-related merchandise inspired by classic and popular Universal films.
-
C.
SVT Play
SVT Play is Sweden’s national public service broadcaster’s online streaming platform, offering on-demand and live TV content.
-
D.
Movies on Demand
Movies on Demand is a film or video project associated with the band Consequence, likely serving as a notable visual or multimedia extension of their music.
-
E.
Vudu
Vudu is a music producer known for working on tracks such as those by The Red Light District.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056af89e881909652957f94317684 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113855ad08190b9ff826a2f39c356 |
completed | March 23, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_69c114ec9d0c819092de76a6712c482d |
completed | March 23, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115552c188190b500d96e86410180 |
completed | March 23, 2026, 10:26 a.m. |
Created at: March 22, 2026, 4:08 p.m.