Triple
T834823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macondo |
E18046
|
entity |
| Predicate | firstAppearance |
P795
|
FINISHED |
| Object | Leaf Storm |
E20586
|
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: Leaf Storm | Statement: [Macondo, firstAppearance, Leaf Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leaf Storm Context triple: [Macondo, firstAppearance, Leaf Storm]
-
A.
Leaf Storm
chosen
Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
-
B.
The Storm
"The Storm" is a short story by American author Kate Chopin that explores themes of passion, infidelity, and female desire in the context of a brief extramarital encounter during a Louisiana thunderstorm.
-
C.
Firestorm
Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
-
D.
Thorns
Thorns is the commonly used shorthand name for Portland Thorns FC, a professional women's soccer team based in Portland, Oregon.
-
E.
Umbrella
"Umbrella" is a 2007 pop and R&B hit single by Rihanna that became one of her signature songs and a global commercial success.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abccb94881909cd49aa3fd986b4a |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7929624e88190bb7e1c644b8cc52b |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.