Triple
T16930631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Addams Lanahan |
E410695
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lanahan |
E1233733
|
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: Lanahan | Statement: [Thomas Addams Lanahan, familyName, Lanahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanahan Context triple: [Thomas Addams Lanahan, familyName, Lanahan]
-
A.
Lanahan
chosen
Lanahan is a surname most notably associated with American lawyer and politician Samuel Jackson Lanahan.
-
B.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
-
C.
Lalan
Lalan was a Chinese-born French painter, composer, and dancer known for her abstract, lyrical works and her close association with the postwar Paris art scene.
-
D.
Lutayan
Lutayan is a municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and proximity to Lake Buluan.
-
E.
Laukahi
Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf248c6c81908fbf4d49e5381f08 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfdeb7a88190aac21a8645607dc8 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.