Triple
T14623819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hate Me |
E343292
|
entity |
| Predicate | hasSpokenIntroContent |
P56242
|
FINISHED |
| Object | voicemail from Justin Furstenfeld's mother |
—
|
LITERAL 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: voicemail from Justin Furstenfeld's mother | Statement: [Hate Me, hasSpokenIntroContent, voicemail from Justin Furstenfeld's mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpokenIntroContent Context triple: [Hate Me, hasSpokenIntroContent, voicemail from Justin Furstenfeld's mother]
-
A.
hasSpokenWordIntro
chosen
Indicates that an entity includes or features an introductory segment performed in spoken word form.
-
B.
hasLiveSpokenIntroductions
Indicates that one entity provides live, spoken introductory remarks or presentations for another entity or event.
-
C.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
hasPresented
Indicates that one entity has formally given, delivered, or shown something (such as information, a work, or an award) to another entity.
-
E.
hasSpokenWordSections
Indicates that something contains or includes sections where words are spoken rather than sung or played.
- F. None of above.
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.