Triple
T9225392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irene Lapham |
E221669
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lapham |
E394020
|
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: Lapham | Statement: [Irene Lapham, familyName, Lapham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapham Context triple: [Irene Lapham, familyName, Lapham]
-
A.
Lapham
chosen
Lapham is a surname most notably associated with Roger D. Lapham, an American shipping executive and former mayor of San Francisco.
-
B.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
C.
Workman Hill
Workman Hill is a modest peak within the Puente Hills range in Los Angeles County, California, known for its hiking trails and views over the surrounding suburban landscape.
-
D.
Nostrand
Nostrand is a surname most notably associated with American professional basketball player George Nostrand.
-
E.
Kittredge
Kittredge is an English-language surname borne by various notable figures, including American writer Charmian Kittredge London.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9dbd1481909f35a4bee8e0b450 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d066521f288190a54b1199284db7a4 |
completed | April 4, 2026, 1:16 a.m. |
Created at: March 30, 2026, 7:28 p.m.