Triple
T13775417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lulu Meyers |
E330992
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | The Deer Park |
E64162
|
NE 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: The Deer Park | Statement: [Lulu Meyers, fictionalUniverse, The Deer Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Deer Park Context triple: [Lulu Meyers, fictionalUniverse, The Deer Park]
-
A.
The Deer Park
chosen
The Deer Park is a 1955 novel by American author Norman Mailer that satirically explores Hollywood, power, and moral corruption in postwar America.
-
B.
Deer Park
Deer Park is the historical site at Sarnath near Varanasi, India, where Gautama Buddha is believed to have delivered his first sermon after attaining enlightenment.
-
C.
Deer Park
Deer Park is a regional bottled spring water brand in the United States owned and distributed by Nestlé Waters.
-
D.
Deer Park
Deer Park is a historic enclosed area within Windsor Great Park in Berkshire, England, traditionally used for keeping and observing deer amid landscaped parkland.
-
E.
Deer Park
Deer Park is a Long Island Rail Road station in Deer Park, New York, serving commuters on the Ronkonkoma Branch between New York City and eastern Long Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0238bdbc8190a946e6e5431632a5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86afd788190ab637044dd489a24 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.