Triple
T21799091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LP3 |
E538184
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Shiller |
—
|
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: Shiller | Statement: [LP3, hasPart, Shiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiller Context triple: [LP3, hasPart, Shiller]
-
A.
Russell Shiller
Russell Shiller is a wealthy, older love interest of Jessica Day on the television series "New Girl," known for his sophistication and contrasting lifestyle.
-
B.
Robert J. Shiller
chosen
Robert J. Shiller is an American economist and Nobel laureate renowned for his work on asset prices, financial bubbles, and behavioral finance.
-
C.
Samuelson
Samuelson is a surname most famously associated with Paul Samuelson, a pioneering American economist and Nobel laureate.
-
D.
Robert J. Hodrick
Robert J. Hodrick is an American economist best known for his work in macroeconomics and finance, including the development of the Hodrick–Prescott filter used to analyze business cycles.
-
E.
Edward Greenspan
Edward Greenspan was a prominent Canadian criminal defence lawyer and legal commentator, widely recognized for his high-profile cases and influence on Canadian criminal law.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.