Triple
T8366201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasun region |
E197131
|
entity |
| Predicate | associatedWithHero |
P2830
|
FINISHED |
| Object | Little Mher |
E193089
|
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: Little Mher | Statement: [Sasun region, associatedWithHero, Little Mher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Mher Context triple: [Sasun region, associatedWithHero, Little Mher]
-
A.
Little Mher
chosen
Little Mher is a heroic figure from the Armenian epic cycle "Daredevils of Sassoun," known as a mighty warrior and the son of the legendary hero David of Sassoun.
-
B.
Meireles
Meireles is a Brazilian surname most prominently associated with Cildo Meireles, a leading contemporary conceptual artist known for his politically charged installations and interventions.
-
C.
Tebbe
Tebbe is a German surname that serves as the etymological root for the name Tibbets.
-
D.
Lila
Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
-
E.
Lila
Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808cf80c8190941c3cc0248a5df2 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7c747b48190b1979b4eaf281df5 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 6 p.m.