Triple
T14921658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Kibble |
E371523
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Kibble |
E371523
|
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: Kibble | Statement: [Tom Kibble, hasLastName, Kibble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kibble Context triple: [Tom Kibble, hasLastName, Kibble]
-
A.
Kibble
chosen
Kibble is a surname most notably associated with British theoretical physicist Tom Kibble, known for his work on the Higgs mechanism and spontaneous symmetry breaking.
-
B.
Chow
Chow is a common Chinese surname borne by many notable individuals across various fields worldwide.
-
C.
Rottbitze
Rottbitze is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
-
D.
Kutton
Kutton is a scenic mountain village and popular tourist spot in Pakistan-administered Azad Kashmir, known for its lush green landscapes, waterfalls, and cool climate.
-
E.
Furrball
Furrball is a blue, often unlucky cartoon cat from the animated series Tiny Toon Adventures, known for his mostly silent, slapstick-driven misadventures.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:34 a.m.