Triple
T17453459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiderland |
E424971
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | Tweez |
—
|
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: Tweez | Statement: [Spiderland, previousWork, Tweez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tweez Context triple: [Spiderland, previousWork, Tweez]
-
A.
Tweez
chosen
Tweez is the 1989 debut studio album by American rock band Slint, known for its raw, experimental sound that helped lay the groundwork for post-rock and math rock.
-
B.
Trooz
Trooz is a municipality in the province of Liège in Wallonia, Belgium, known for its location along the Vesdre River and its industrial heritage.
-
C.
Tweants
Tweants is a Low Saxon regional dialect spoken in the Twente region of the eastern Netherlands.
-
D.
Tush
"Tush" is a 1975 blues-rock song by American rock band ZZ Top, known for its driving riff and status as one of the group's signature hits.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
Created at: April 10, 2026, 5:47 a.m.