Triple
T19161469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luman Reed |
E469065
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Luman |
—
|
NE NERFINISHED |
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: Luman | Statement: [Luman Reed, givenName, Luman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luman Context triple: [Luman Reed, givenName, Luman]
-
A.
Luman
chosen
Luman is a masculine given name of English origin, historically borne by figures such as the 19th-century American art patron Luman Reed.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Lituma
Lituma is a recurring character in Mario Vargas Llosa’s novels, notably appearing as a central figure in the Peruvian settings of works like "La casa verde" and the "Lituma" series, where he often embodies the everyman confronting social and political turmoil.
-
D.
Jimalalud
Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
-
E.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebd093c81909a50f1119e284069 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.