Triple
T18762864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Films |
E458816
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tumbledown |
—
|
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: Tumbledown | Statement: [Gilbert Films, notableWork, Tumbledown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumbledown Context triple: [Gilbert Films, notableWork, Tumbledown]
-
A.
Tumbledown
chosen
Tumbledown refers to the Battle of Mount Tumbledown in the 1982 Falklands War, where British forces, including the Scots Guards, fought to recapture high ground overlooking the capital, Port Stanley.
-
B.
Torn Down
"Torn Down" is a track from the album "Human" by the American heavy metal band Death.
-
C.
Till I Collapse
"Till I Collapse" is a high-energy, motivational rap song by Eminem featuring Nate Dogg that has become one of his most iconic workout and pump-up anthems.
-
D.
Crashing Down
"Crashing Down" is a lesser-known track released as the B-side to the single "Up."
-
E.
The Falling
The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.