Triple
T13613791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me as I Am |
E325259
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Wild One |
E325263
|
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: Wild One | Statement: [Take Me as I Am, hasSingle, Wild One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wild One Context triple: [Take Me as I Am, hasSingle, Wild One]
-
A.
Wild One
"Wild One" is a song by Green Day featured on their album ¡Dos!.
-
B.
Wild One
Wild One is a classic wooden roller coaster located at Six Flags America, known for its historic status and traditional out-and-back layout.
-
C.
Wild One
chosen
"Wild One" is a breakout country hit by Faith Hill that helped launch her career in the early 1990s.
-
D.
Wild America
Wild America is a 1997 adventure comedy film about three brothers embarking on a cross-country journey to film wild animals, loosely based on the real-life adventures of wildlife documentarian Marty Stouffer and his siblings.
-
E.
The Wild
The Wild is a studio album by American rapper Raekwon that showcases his gritty storytelling and classic East Coast hip-hop style.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.