Triple
T3329988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangled |
E70009
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tim Mertens |
E347472
|
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: Tim Mertens | Statement: [Tangled, editedBy, Tim Mertens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Mertens Context triple: [Tangled, editedBy, Tim Mertens]
-
A.
Tim Mertens
chosen
Tim Mertens is a film editor best known for his work on the animated feature "Big Hero 6."
-
B.
Marc Overmars
Marc Overmars is a former Dutch winger renowned for his blistering pace and key roles at clubs like Ajax, Arsenal, and Barcelona, as well as for his contributions to the Netherlands national team in the 1990s and early 2000s.
-
C.
Paul Troost
Paul Troost was a prominent German architect of the early 20th century known for his neoclassical designs and close association with the Nazi regime.
-
D.
Tinus Osendarp
Tinus Osendarp was a Dutch sprinter best known for winning two bronze medals in the 100 m and 200 m events at the 1936 Berlin Olympics.
-
E.
Éric Trappier
Éric Trappier is a French aerospace executive best known as the long-serving CEO and chairman of Dassault Aviation, overseeing programs such as the Rafale fighter jet.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb171ee0881908642504ab0ac8329 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a810e2c8190bfc206bdeb1ac5b8 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:12 p.m.