Triple
T23502353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Financial Times–Goldman Sachs Business Book of the Year Award |
E571883
|
entity |
| Predicate | hasAwarded |
P2391
|
FINISHED |
| Object | Invisible Women: Exposing Data Bias in a World Designed for Men |
—
|
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: Invisible Women: Exposing Data Bias in a World Designed for Men | Statement: [Financial Times–Goldman Sachs Business Book of the Year Award, hasAwarded, Invisible Women: Exposing Data Bias in a World Designed for Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Invisible Women: Exposing Data Bias in a World Designed for Men Context triple: [Financial Times–Goldman Sachs Business Book of the Year Award, hasAwarded, Invisible Women: Exposing Data Bias in a World Designed for Men]
-
A.
Invisible Women: Exposing Data Bias in a World Designed for Men
chosen
Invisible Women: Exposing Data Bias in a World Designed for Men is a nonfiction book that reveals how systemic gender data gaps across fields like healthcare, urban planning, and technology disadvantage women and distort our understanding of the world.
-
B.
Undoing Gender
"Undoing Gender" is a 2004 collection of essays by philosopher Judith Butler that explores the social, political, and ethical dimensions of gender, challenging normative concepts of identity, kinship, and human recognition.
-
C.
The Human Face of Big Data
The Human Face of Big Data is a multimedia project and book that explores how the explosion of digital information is transforming human life, society, and decision-making around the world.
-
D.
The Data of Ethics
The Data of Ethics is a foundational section of Herbert Spencer’s ethical philosophy that examines the empirical and psychological bases of moral conduct.
-
E.
All Men are Equal – But Some are More
"All Men are Equal – But Some are More" is a novel by Israeli author Sami Michael that explores social inequality, identity, and power dynamics within Israeli society.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8fd65e08190ae94ad4f0638cc0e |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:06 p.m.