Triple
T14372565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVMT |
E356390
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Fossil |
E321472
|
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: Fossil | Statement: [MVMT, competesWith, Fossil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fossil Context triple: [MVMT, competesWith, Fossil]
-
A.
Fossil
chosen
Fossil is an American lifestyle brand best known for its fashion watches, accessories, and leather goods that blend vintage-inspired design with contemporary style.
-
B.
Fossil
"Fossil" is a science fiction novel by Hal Clement that exemplifies his trademark hard-science approach and meticulous world-building.
-
C.
Foss
Foss is a small settlement in Perth and Kinross, Scotland, situated near the River Tummel and known for its scenic Highland surroundings.
-
D.
Dinos
Dinos is the collective name for the University of Calgary’s varsity athletic teams competing in Canadian university sports.
-
E.
The Bones
"The Bones" is a hit country-pop song by American singer-songwriter Maren Morris, known for its metaphor-rich lyrics about the strength and resilience of a relationship.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5363a081909681b54c1d8218dc |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.