Triple
T3336409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memento Park |
E70149
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object | Memento Park |
E70149
|
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: Memento Park | Statement: [Memento Park, officialName, Memento Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memento Park Context triple: [Memento Park, officialName, Memento Park]
-
A.
Memento Park
chosen
Memento Park is an open-air museum in Budapest that displays statues and monuments from Hungary’s communist era.
-
B.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
C.
Gone
"Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
-
D.
Memento Mori
Memento Mori is a short story by Jonathan Nolan that explores themes of memory, identity, and revenge, and served as the basis for the film "Memento."
-
E.
Spotless Mind
"Spotless Mind" is a mellow, introspective R&B track by Jhené Aiko that explores themes of emotional detachment and transient relationships.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.