Triple
T14760220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percival C. McLeach |
E346837
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Marahute |
E294815
|
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: Marahute | Statement: [Percival C. McLeach, enemyOf, Marahute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marahute Context triple: [Percival C. McLeach, enemyOf, Marahute]
-
A.
Marahuté
chosen
Marahuté is a majestic golden eagle from Disney's animated film "The Rescuers Down Under," known for her enormous size, gentle nature, and role as a rare and endangered creature the heroes strive to protect.
-
B.
Matareya
Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
-
C.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
D.
Makaroa
Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
-
E.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cefb7c08190bf69b15165f046d0 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.