Triple
T16984003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Ammann |
E412014
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lope |
E730083
|
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: Lope | Statement: [Alberto Ammann, notableWork, Lope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lope Context triple: [Alberto Ammann, notableWork, Lope]
-
A.
Lope
chosen
Lope is a Spanish given name of medieval origin, historically borne by figures such as the playwright Lope de Vega.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
D.
Royuela
Royuela is a small rural municipality in the province of Teruel, Aragon, Spain, known for its scenic natural surroundings and traditional village character.
-
E.
Ismaelillo
Ismaelillo is a seminal 1882 poetry collection by Cuban writer and independence leader José Martí, often regarded as an early example of Latin American modernist literature.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18a0bf881908c449f499eb86495 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0f13c88190b55da5be40a0a476 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.