Triple
T6202330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward E. Smith |
E138663
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Elmer |
E442214
|
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: Elmer | Statement: [Edward E. Smith, middleName, Elmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmer Context triple: [Edward E. Smith, middleName, Elmer]
-
A.
Elmer
chosen
Elmer is a masculine given name of Germanic origin that has been borne by various notable figures, including athletes, politicians, and fictional characters.
-
B.
Elmer Winter
Elmer Winter was an American lawyer and entrepreneur best known as the co-founder of Manpower Inc., one of the world’s largest staffing and workforce solutions companies.
-
C.
Willi
Willi is a given name, typically a variant of Willy or William, used in various European countries.
-
D.
Rolly
Rolly is a diminutive form of the given name Roland, often used as a familiar or affectionate nickname.
-
E.
Taz
Taz is a major 17th-century halachic commentary on the Shulchan Aruch, authored by Rabbi David HaLevi Segal and highly influential in later Jewish legal works.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626a32908190a3332008aee2e4a9 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f3bad2c8190b0ad0f2def3af9f7 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.