Triple
T29304918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamath Palihapitiya |
E743064
|
entity |
| Predicate | notableQuoteTopic |
P204153
|
FINISHED |
| Object | social media impact on society |
—
|
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: social media impact on society | Statement: [Chamath Palihapitiya, notableQuoteTopic, social media impact on society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuoteTopic Context triple: [Chamath Palihapitiya, notableQuoteTopic, social media impact on society]
-
A.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
B.
notableQuoteOrigin
Indicates that a quoted statement is originally attributed to a particular source or context.
-
C.
genreOfQuotes
Indicates that one entity is the literary, thematic, or stylistic genre to which the other entity’s quotes belong.
-
D.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
E.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
- F. None of above. chosen
Provenance (4 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_69f09123ed9881909f351f7541933f5e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a0338d1074481909541e6150307e7f8 |
completed | May 12, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_6a03386e7da08190b533cb0e908503dd |
completed | May 12, 2026, 2:25 p.m. |
| PDg | Predicate description generation | batch_6a0338d05cac819081445b6c5b32725d |
completed | May 12, 2026, 2:27 p.m. |
Created at: April 28, 2026, 1:12 p.m.