Triple
T5021353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Empie Rogers |
E112856
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Empie |
E112856
|
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: Empie | Statement: [Robert Empie Rogers, hasMiddleName, Empie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Empie Context triple: [Robert Empie Rogers, hasMiddleName, Empie]
-
A.
Empie
chosen
Empie is the middle name of Robert Empie Rogers, a 19th-century American civil engineer and educator.
-
B.
Opata
Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
-
C.
Toma
Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
-
D.
Boliqueime
Boliqueime is a small village in Portugal’s Algarve region, known for its traditional charm and proximity to the coastal resorts near Loulé.
-
E.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73656edc8190b802ad38d9552b58 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927f4ad0819096826f6cb141c90b |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:36 p.m.