Triple
T13364132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Boggs |
E318893
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boggs |
E635368
|
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: Boggs | Statement: [Kim Boggs, familyName, Boggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boggs Context triple: [Kim Boggs, familyName, Boggs]
-
A.
Boggs
chosen
Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
-
B.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
C.
Bolger
Bolger is a surname most famously associated with American actor and dancer Ray Bolger, who played the Scarecrow in the classic film "The Wizard of Oz."
-
D.
Bohley
Bohley is a German surname most notably borne by Bärbel Bohley, a prominent East German civil rights activist and painter.
-
E.
Bakster
Bakster is an alternative spelling or variant form of the name Baxter, typically used as a surname or given name.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628c71ac81908cfa36342077766e |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7267e9d608190b36f58a92d4a9964 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:32 p.m.