Triple
T33727719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Angier |
E864188
|
entity |
| Predicate | methodOfIllusion |
P178377
|
FINISHED |
| Object | self-duplication and drowning of duplicates |
—
|
LITERAL FINISHED |
How this triple was built (2 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: self-duplication and drowning of duplicates | Statement: [Robert Angier, methodOfIllusion, self-duplication and drowning of duplicates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfIllusion Context triple: [Robert Angier, methodOfIllusion, self-duplication and drowning of duplicates]
-
A.
methodOfDisappearance
Indicates the specific way or process by which an entity ceases to be present, visible, or existent.
-
B.
methodOfEnchantment
Indicates a relationship where one entity specifies the technique, process, or means by which another entity is magically enchanted.
-
C.
methodOfRejuvenation
Indicates a process or technique used to restore youthfulness, vitality, or an earlier optimal state to something or someone.
-
D.
methodOfResurrection
Indicates the specific process or means by which an entity is brought back to life or restored from death.
-
E.
methodOfSummoning
Indicates the specific way or procedure by which an entity is called forth, invoked, or brought into presence.
- F. None of above. chosen
Provenance (4 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:44 a.m.