Triple
T6573569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Field |
E155502
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Field |
E74495
|
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: Field | Statement: [Ted Field, familyName, Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Field Context triple: [Ted Field, familyName, Field]
-
A.
Field
Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
-
B.
Field
chosen
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
C.
Campo
Campo is a town located in the South Region of Brazil.
-
D.
FIELDS
FIELDS is a scientific instrument suite on NASA’s Parker Solar Probe designed to measure electric and magnetic fields, radio emissions, and plasma waves in the Sun’s outer atmosphere.
-
E.
The Great Field
The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56d204c819098428507da28a9d5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:53 p.m.