Triple
T11534818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilbo Gardner |
E273518
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Hamfast Gardner |
E263812
|
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: Hamfast Gardner | Statement: [Bilbo Gardner, relative, Hamfast Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamfast Gardner Context triple: [Bilbo Gardner, relative, Hamfast Gardner]
-
A.
Hamfast Gardner
chosen
Hamfast Gardner is the son of Samwise Gamgee in J.R.R. Tolkien’s Middle-earth legendarium, part of the next generation of Hobbits in the Shire.
-
B.
Jabez Snow
Jabez Snow was a colonial New Englander of early Plymouth descent, known primarily as a descendant of Mayflower passenger Constance Hopkins.
-
C.
Samuel Gardner
Samuel Gardner is a fictional teenage protagonist on the autism spectrum from the Netflix series "Atypical."
-
D.
Burford Tolsey
Burford Tolsey is a historic former market and meeting hall in Burford, Oxfordshire, now serving as a museum showcasing the town’s local history.
-
E.
Jabez Stone
Jabez Stone is the New Hampshire farmer in Stephen Vincent Benét’s short story "The Devil and Daniel Webster" who famously sells his soul to the Devil and later fights to win it back.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6858af0d081909078d5862ec3d469 |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.