Triple
T5336859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Regardie |
E123847
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Regardie
Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
|
E511439
|
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: Regardie | Statement: [Israel Regardie, familyName, Regardie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regardie Context triple: [Israel Regardie, familyName, Regardie]
-
A.
Rabaut
Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
-
B.
Taaffe
Taaffe is a surname of Irish origin borne by various notable individuals across fields such as politics, the arts, and academia.
-
C.
Oudry
Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
- 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: Regardie Triple: [Israel Regardie, familyName, Regardie]
Generated description
Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regardie Target entity description: Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
-
A.
Rabaut
Rabaut is a French surname most notably associated with the revolutionary-era politician and Protestant pastor Jean-Paul Rabaut Saint-Étienne.
-
B.
Taaffe
Taaffe is a surname of Irish origin borne by various notable individuals across fields such as politics, the arts, and academia.
-
C.
Oudry
Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85b104c081908b81236a0142e1c8 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18c1e1f88190a47489a9491eaf08 |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf199394e08190948f70a9884a39b6 |
completed | March 21, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19f186bc81908e378f61100417a9 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 2 p.m.