Triple
T9440597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coosje van Bruggen |
E227633
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Clothespin |
E443901
|
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: Clothespin | Statement: [Coosje van Bruggen, notableWork, Clothespin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clothespin Context triple: [Coosje van Bruggen, notableWork, Clothespin]
-
A.
Clothespin
chosen
Clothespin is a large-scale public sculpture by Claes Oldenburg, resembling an oversized clothespin and exemplifying his playful transformation of everyday objects into monumental art.
-
B.
Betsy Bobbin
Betsy Bobbin is a young American girl who becomes one of the child protagonists in L. Frank Baum’s Oz series, embarking on magical adventures alongside characters like Tik-Tok and the Shaggy Man.
-
C.
Zipper
Zipper was the codename for a planned British amphibious operation to recapture Malaya from Japanese control near the end of World War II.
-
D.
Tijeras
Tijeras is a small village in central New Mexico, located in the Sandia Mountains just east of Albuquerque.
-
E.
Knick Knack
Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee36f908190826994db91b18466 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105dc6b48190bd6c7d932d9f48d5 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:50 p.m.