Triple
T36794424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron Tiller |
E909140
|
entity |
| Predicate | exploresThemeIn |
P91427
|
FINISHED |
| Object | The Man from Elysian Fields |
—
|
NE NERFINISHED |
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: The Man from Elysian Fields | Statement: [Byron Tiller, exploresThemeIn, The Man from Elysian Fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresThemeIn Context triple: [Byron Tiller, exploresThemeIn, The Man from Elysian Fields]
-
A.
themeExplores
Indicates that a work, action, or discourse centrally examines, investigates, or delves into a particular theme or subject.
-
B.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
C.
explorationSubject
Indicates that an entity is the focus or target of an exploration, investigation, or exploratory activity carried out by another entity.
-
D.
tacklesTheme
chosen
Indicates that one entity addresses, explores, or deals with a particular theme as a central subject.
-
E.
explorationBy
Indicates a relationship where one entity conducts or performs exploration directed at or involving another entity.
- F. None of above.
Provenance (3 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.