Triple
T8746505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Andrews Hendricks |
E207840
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Andrews |
E207840
|
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: Andrews | Statement: [Thomas Andrews Hendricks, hasMiddleName, Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrews Context triple: [Thomas Andrews Hendricks, hasMiddleName, Andrews]
-
A.
Andrews
Andrews is a small city in West Texas known primarily for its role in the region’s oil and gas industry.
-
B.
Andrews
Andrews is the middle name of American experimental physicist and Nobel laureate Robert A. Millikan.
-
C.
Andrews
chosen
Andrews is the middle name of Thomas A. Hendricks, the 21st vice president of the United States.
-
D.
Andrews
Andrews is a common English-language surname borne by numerous notable figures across fields such as the military, politics, science, and the arts.
-
E.
McCallum
McCallum is a British television crime drama series starring John Hannah as a forensic pathologist solving complex murder cases.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf43090d388190b6256623805a6348 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.