Triple
T4161803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmet |
E91547
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Quicksand |
E298295
|
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: Quicksand | Statement: [Helmet, associatedAct, Quicksand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quicksand Context triple: [Helmet, associatedAct, Quicksand]
-
A.
Quicksand
"Quicksand" is a 1928 novel by Nella Larsen that explores race, identity, and gender through the experiences of a mixed-race woman navigating Black and white societies in the early 20th-century United States and Denmark.
-
B.
Quicksand
chosen
"Quicksand" is a 1963 Motown soul single by Martha and the Vandellas, known for its driving beat and passionate vocals characteristic of the group's early hits.
-
C.
Mud
Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
-
D.
River Suck
River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
-
E.
Thunder Hole
Thunder Hole is a coastal inlet in Acadia National Park known for its dramatic crashing waves and thunderous booming sounds created as seawater surges into a narrow rock cavern.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.