Triple
T12513101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Allen Hynek |
E299129
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hynek
Hynek is a surname most notably associated with J. Allen Hynek, the American astronomer and ufologist known for his work on the U.S. Air Force’s UFO studies and for developing the “Close Encounters” classification system.
|
E987900
|
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: Hynek | Statement: [J. Allen Hynek, familyName, Hynek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hynek Context triple: [J. Allen Hynek, familyName, Hynek]
-
A.
Hermánek
Hermánek is a Czech surname most notably borne by actor Karel Hermánek.
-
B.
Husák
Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
-
C.
Lumír Hanuš
Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
-
D.
Ondrík
Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
-
E.
Franek
Franek is a common Polish diminutive form of the male given name Franciszek.
- 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: Hynek Triple: [J. Allen Hynek, familyName, Hynek]
Generated description
Hynek is a surname most notably associated with J. Allen Hynek, the American astronomer and ufologist known for his work on the U.S. Air Force’s UFO studies and for developing the “Close Encounters” classification system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hynek Target entity description: Hynek is a surname most notably associated with J. Allen Hynek, the American astronomer and ufologist known for his work on the U.S. Air Force’s UFO studies and for developing the “Close Encounters” classification system.
-
A.
Hermánek
Hermánek is a Czech surname most notably borne by actor Karel Hermánek.
-
B.
Husák
Husák is a Slovak surname most prominently associated with Gustáv Husák, the communist politician who served as president of Czechoslovakia during the normalization era.
-
C.
Lumír Hanuš
Lumír Hanuš is a Czech analytical chemist and cannabis researcher best known for co-discovering the endocannabinoid anandamide.
-
D.
Ondrík
Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
-
E.
Franek
Franek is a common Polish diminutive form of the male given name Franciszek.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541e752c8190bf12d2b5a37b53df |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbba5fc819082a4171a5a77183a |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:57 p.m.