Triple
T13615666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Halen |
E325302
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Fair Warning
Fair Warning is Van Halen’s dark, hard-edged 1981 studio album noted for its heavier guitar sound and more aggressive tone.
|
E1051439
|
NE FINISHED |
How this triple was built (4 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: Fair Warning | Statement: [Van Halen, hasPart, Fair Warning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fair Warning Context triple: [Van Halen, hasPart, Fair Warning]
-
A.
Fair Warning
Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
-
B.
A Warning
"A Warning" is an anonymous political exposé that offers an insider account of turmoil and dysfunction within the Trump administration.
-
C.
Without Warning
"Without Warning" is a 2017 collaborative trap album by 21 Savage, Offset, and producer Metro Boomin, known for its dark, horror-themed sound and surprise Halloween release.
-
D.
Prior Warning
Prior Warning is a song featured on the self-titled release "Self-Titled."
-
E.
Beware
"Beware" is a 2013 hip-hop single by Big Sean featuring Lil Wayne and Jhené Aiko, known for its melodic hook and themes of relationship turmoil.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fair Warning Triple: [Van Halen, hasPart, Fair Warning]
Generated description
Fair Warning is Van Halen’s dark, hard-edged 1981 studio album noted for its heavier guitar sound and more aggressive tone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fair Warning Target entity description: Fair Warning is Van Halen’s dark, hard-edged 1981 studio album noted for its heavier guitar sound and more aggressive tone.
-
A.
Fair Warning
Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
-
B.
A Warning
"A Warning" is an anonymous political exposé that offers an insider account of turmoil and dysfunction within the Trump administration.
-
C.
Without Warning
"Without Warning" is a 2017 collaborative trap album by 21 Savage, Offset, and producer Metro Boomin, known for its dark, horror-themed sound and surprise Halloween release.
-
D.
Prior Warning
Prior Warning is a song featured on the self-titled release "Self-Titled."
-
E.
Beware
"Beware" is a 2013 hip-hop single by Big Sean featuring Lil Wayne and Jhené Aiko, known for its melodic hook and themes of relationship turmoil.
- F. None of above. chosen
Provenance (5 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_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9ecc2881909f71d71e056f9459 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:50 p.m.