Triple
T7411434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loch Ness Monster |
E171012
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Nessie |
E171012
|
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: Nessie | Statement: [Loch Ness Monster, hasAlias, Nessie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nessie Context triple: [Loch Ness Monster, hasAlias, Nessie]
-
A.
Loch Ness Monster
chosen
The Loch Ness Monster is a legendary cryptid said to inhabit Scotland’s Loch Ness, often depicted as a large, long-necked aquatic creature and central to one of the world’s most famous lake monster myths.
-
B.
Squatch
Squatch was the furry, Bigfoot-inspired mascot of the NBA’s former Seattle SuperSonics, known for energetic stunts and fan interaction.
-
C.
Marpissa
Marpissa is a traditional Cycladic village on the Greek island of Paros, known for its narrow alleys, whitewashed houses, and hilltop views.
-
D.
Gertie
Gertie is the young girl, played by Drew Barrymore, who befriends the alien in the classic science fiction film "E.T. the Extra-Terrestrial."
-
E.
Nagini
Nagini is Voldemort’s loyal giant snake in the Harry Potter series, later revealed to be a cursed Maledictus and a key part of his dark power.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29ebea48190be96c6bc1e6406fb |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c811244df081909b63e085d2272cd2 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:11 p.m.