Triple
T10996050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufus Putnam |
E259870
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Persis Rice |
E236015
|
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: Persis Rice | Statement: [Rufus Putnam, spouse, Persis Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Persis Rice Context triple: [Rufus Putnam, spouse, Persis Rice]
-
A.
Rice
chosen
Rice is a common English surname borne by various notable individuals across politics, sports, and entertainment.
-
B.
Kasha
Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
-
C.
Rava
Rava was a prominent fourth-century Babylonian Talmudic sage whose legal debates with his colleague Abaye are central to rabbinic Jewish law and scholarship.
-
D.
Okhla
Okhla is a locality in South Delhi, India, known for its industrial areas, residential colonies, and proximity to the Yamuna River.
-
E.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d6572c8190a47d68483863ad7a |
completed | April 9, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3452420c08190b9c91a9c8a807670 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:24 p.m.