Triple
T9592647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buried Child |
E231452
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Tilden |
E96246
|
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: Tilden | Statement: [Buried Child, hasCharacter, Tilden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilden Context triple: [Buried Child, hasCharacter, Tilden]
-
A.
Tilden
chosen
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
-
B.
Paxton
Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
C.
Paxton
Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
-
D.
Lamont
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
-
E.
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a11ec7081908dc580de2f369706 |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161938e108190aea76d528f9208a2 |
completed | April 4, 2026, 7:08 p.m. |
Created at: March 30, 2026, 8:07 p.m.