Triple
T9009013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Cross |
E215417
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Holloway Falls |
E790153
|
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: Holloway Falls | Statement: [Neil Cross, wrote, Holloway Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holloway Falls Context triple: [Neil Cross, wrote, Holloway Falls]
-
A.
Holloway Falls
chosen
Holloway Falls is a novel by British author Neil Cross, known for its dark, character-driven storytelling and psychological depth.
-
B.
Ripley Falls
Ripley Falls is a picturesque, steep cascade waterfall in New Hampshire’s White Mountains, popular with hikers visiting Crawford Notch.
-
C.
Horsetail Falls
Horsetail Falls is a picturesque, horsetail-shaped waterfall in Oregon that cascades down a basalt cliff along the Columbia River Gorge.
-
D.
Engstligen Falls
Engstligen Falls is a spectacular two-tiered waterfall in the Swiss Alps near Adelboden, known as one of the highest and most impressive waterfalls in Switzerland.
-
E.
Basaseachic Falls
Basaseachic Falls is a major waterfall in Mexico’s Copper Canyon region, renowned as one of the country’s tallest and most scenic natural attractions.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c6d4a5d08190832f41dd9dc82f41 |
completed | April 4, 2026, 8:07 a.m. |
Created at: March 30, 2026, 7:06 p.m.