Triple
T9115879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake-town |
E218717
|
entity |
| Predicate | primaryInhabitants |
P6481
|
FINISHED |
| Object | Men |
E261174
|
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: Men | Statement: [Lake-town, primaryInhabitants, Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Men Context triple: [Lake-town, primaryInhabitants, Men]
-
A.
Men
chosen
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
-
B.
Men
Men is a 2022 British folk horror film written and directed by Alex Garland that follows a grieving woman’s unsettling retreat to the English countryside.
-
C.
Male
Male is the capital and most populous city of the Maldives, located on the southern edge of North Malé Atoll in the Indian Ocean.
-
D.
Men and Women
"Men and Women" is a 19th-century stage play co-written by Beatrice DeMille that explores themes of morality, social status, and personal downfall.
-
E.
Men and Women
Men and Women is a celebrated 1855 poetry collection by Robert Browning, known for its dramatic monologues and psychological depth.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a1340881909dc791b825e87ef2 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0306837c0819099cd77925df0848d |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:16 p.m.