Triple
T22016108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Glasser |
E543712
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Burden |
—
|
NE NERFINISHED |
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: Burden | Statement: [David Glasser, notableWork, Burden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burden Context triple: [David Glasser, notableWork, Burden]
-
A.
Burden
Burden is a puzzle-platform adventure game known for its dark, atmospheric style and challenging, physics-based gameplay.
-
B.
Burden
chosen
"Burden" is a notable film produced by Fred Berger, recognized for its dramatic exploration of racism, redemption, and personal transformation.
-
C.
No Burden
No Burden is the 2016 debut studio album by American singer-songwriter Lucy Dacus, noted for its introspective indie rock sound and critical acclaim.
-
D.
Burden in My Hand
"Burden in My Hand" is a 1996 rock song by the American band Soundgarden, known for its dark, introspective lyrics and prominent presence on their album *Down on the Upside*.
-
E.
Beban
Beban is the surname of Gary Beban, a former American football quarterback and Heisman Trophy winner.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a8a1388190b9e0c1795fe1183a |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.