Triple
T422938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Putnam |
E8143
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Putnam |
E45179
|
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: Putnam | Statement: [Thomas Putnam, familyName, Putnam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Putnam Context triple: [Thomas Putnam, familyName, Putnam]
-
A.
Putnam
chosen
Putnam is a prominent New England family name historically associated with several key figures in the Salem witch trials and early American colonial life.
-
B.
Conant
Conant is a surname most notably associated with James B. Conant, an influential American chemist, educator, and former president of Harvard University.
-
C.
Belmont
Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
-
D.
Dartmouth
Dartmouth was one of the merchant ships involved in the 1773 Boston Tea Party, a pivotal protest against British taxation in colonial America.
-
E.
Hopkins
Hopkins is a common English and Welsh surname borne by numerous notable figures across politics, the arts, and academia.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec200648190bcb9f1b98c8e9cdf |
completed | Feb. 28, 2026, 1:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42a15efe88190b1dc3337bd775723 |
completed | March 1, 2026, 11:59 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.