Triple
T14517072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood’s Bleeding |
E340547
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | On The Road |
E76725
|
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: On The Road | Statement: [Hollywood’s Bleeding, hasPart, On The Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: On The Road Context triple: [Hollywood’s Bleeding, hasPart, On The Road]
-
A.
On the Road
On the Road is Jack Kerouac’s seminal Beat Generation novel that chronicles restless cross-country journeys and helped define postwar American counterculture.
-
B.
On the Road
chosen
On the Road is a stand-up comedy album by George Carlin showcasing his sharp observational humor and social commentary.
-
C.
On the Road to Mandalay
"On the Road to Mandalay" is a popular song famously recorded by Frank Sinatra, inspired by Rudyard Kipling’s poem and often associated with mid-20th-century traditional pop and swing.
-
D.
For The Road
"For The Road" is a song featured on the album "Timeless."
-
E.
Two for the Road
Two for the Road is a 1967 British romantic dramedy film that follows a couple’s evolving relationship over 12 years, noted for its non-linear narrative and one of Audrey Hepburn’s most acclaimed later performances.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6f50208190b687b505f5cd1aa2 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da80dc88190afa96760efb0c7de |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.