Triple
T11689230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shutter Island (novel) |
E277824
|
entity |
| Predicate | coverArtist |
P184
|
FINISHED |
| Object | Chip Kidd |
E160161
|
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: Chip Kidd | Statement: [Shutter Island (novel), coverArtist, Chip Kidd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chip Kidd Context triple: [Shutter Island (novel), coverArtist, Chip Kidd]
-
A.
Chip Kidd
chosen
Chip Kidd is an acclaimed American graphic designer and author best known for his influential and inventive book cover designs.
-
B.
Victor Kilian
Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
-
C.
Mike Gill
Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
-
D.
Michael Burger
Michael Burger is a legal scholar and environmental law expert known for his leadership in advancing climate change law and policy.
-
E.
Mark Kilian
Mark Kilian is a South African-born film composer known for scoring numerous Hollywood movies and television projects.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14431f3c81908af9167c46f8c2bc |
completed | April 27, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.