Triple
T22057696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HR 1790 |
E545065
|
entity |
| Predicate | simbadIdentifier |
P3732
|
FINISHED |
| Object |
HR+1790
HR+1790 is a catalogued star listed in the Bright Star Catalogue (Harvard Revised, HR) and indexed in the SIMBAD astronomical database.
|
E1515103
|
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: HR+1790 | Statement: [HR 1790, simbadIdentifier, HR+1790]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HR+1790 Context triple: [HR 1790, simbadIdentifier, HR+1790]
-
A.
HRD
HRD was the ISO 4217 currency code for the Croatian dinar, the transitional currency used in Croatia in the early 1990s before the introduction of the kuna.
-
B.
HRD
HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
-
C.
HR 4210
HR 4210 is a highly luminous and massive stellar system in the Carina constellation, best known for its unstable, eruptive behavior and spectacular surrounding nebula.
-
D.
HRP
HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
-
E.
HRP
HRP is NASA’s Human Research Program, which investigates and mitigates health and performance risks to enable safe, long-duration human space exploration.
- 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: HR+1790 Triple: [HR 1790, simbadIdentifier, HR+1790]
Generated description
HR+1790 is a catalogued star listed in the Bright Star Catalogue (Harvard Revised, HR) and indexed in the SIMBAD astronomical database.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HR+1790 Target entity description: HR+1790 is a catalogued star listed in the Bright Star Catalogue (Harvard Revised, HR) and indexed in the SIMBAD astronomical database.
-
A.
HRD
HRD is the National Rail station code for Harling Road railway station in Norfolk, England.
-
B.
HRD
HRD was the ISO 4217 currency code for the Croatian dinar, the transitional currency used in Croatia in the early 1990s before the introduction of the kuna.
-
C.
HR 4210
HR 4210 is a highly luminous and massive stellar system in the Carina constellation, best known for its unstable, eruptive behavior and spectacular surrounding nebula.
-
D.
HRP
HRP is NASA’s Human Research Program, which investigates and mitigates health and performance risks to enable safe, long-duration human space exploration.
-
E.
HRP
HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285959f48190b89527b3f9e7ab11 |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7f1c4c81909d45c8bac72e149b |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c8323fc8190b1737d7b85103e98 |
completed | May 18, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d372e30819085fcbbf83a9f5e0a |
completed | May 18, 2026, 2:45 a.m. |
Created at: April 16, 2026, 8:27 p.m.