Triple
T20035664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hood Stuck |
E497251
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Hood Stuck |
—
|
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: Hood Stuck | Statement: [Hood Stuck, hasTitle, Hood Stuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hood Stuck Context triple: [Hood Stuck, hasTitle, Hood Stuck]
-
A.
Hood Stuck
chosen
"Hood Stuck" is a track from Ludacris's debut major-label album "Back for the First Time," showcasing his early Southern hip hop style.
-
B.
Stuck
"Stuck" is a 2007 horror-thriller film directed by Stuart Gordon, loosely based on a real-life hit-and-run case and starring Mena Suvari and Stephen Rea.
-
C.
Stuck
Stuck is the surname of Hudson Stuck, an English-born American Episcopal priest, educator, and mountaineer known for co-leading the first successful ascent of Denali.
-
D.
HOOD
HOOD is the stock ticker symbol for Robinhood Markets, Inc., a financial services company known for its commission-free trading app for stocks, ETFs, options, and cryptocurrencies.
-
E.
Stuck in the Changer
"Stuck in the Changer" is a song from the experimental rock band Snares Like a Haircut.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e76f8481909c006921cbbfd060 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.